{"id":11262,"date":"2024-06-24T10:45:57","date_gmt":"2024-06-24T05:15:57","guid":{"rendered":"https:\/\/www.placementpreparation.io\/blog-live\/?p=11262"},"modified":"2024-06-24T10:50:27","modified_gmt":"2024-06-24T05:20:27","slug":"post-processing","status":"publish","type":"post","link":"https:\/\/www.placementpreparation.io\/blog-live\/post-processing\/","title":{"rendered":"Post Processing"},"content":{"rendered":"<?xml encoding=\"utf-8\" ?><p>Are you interested in practically mastering NLP? Then you are in the right place.<\/p><p>But there is a huge crowd looking to master this! To stand out among them you need to create a strong portfolio.<\/p><p>You can start creating your unique portfolio by starting with the below-mentioned NLP projects for beginners.<\/p><h2 id=\"overview\">10 Beginner-Friendly NLP Project Ideas &ndash; Overview<\/h2><p>Here&rsquo;s an overview of the 10 best NLP projects for beginners:<\/p><table id=\"tablepress-384\" class=\"tablepress tablepress-id-384 tablepress\">\n<thead>\n<tr class=\"row-1\">\n\t<th class=\"column-1\">Job Role<\/th><th class=\"column-2\">Eligible Batch<\/th><th class=\"column-3\">Eligible Stream<\/th><th class=\"column-4\">Backlog<\/th><th class=\"column-5\">Percentage Criteria<\/th>\n<\/tr>\n<\/thead>\n<thead><tr class=\"row-2\">\n\t<td class=\"column-1\">Advanced Associate Software Engineer (AASE)<\/td><td class=\"column-2\">2023 &amp; 2024<\/td><td class=\"column-3\">BE\/B.Tech, MCA, M.Sc. (CSE, IT only)<\/td><td class=\"column-4\">No active Backlog<\/td><td class=\"column-5\">65% or 6.5 CGPA in graduation<\/td>\n<\/tr><\/thead><tbody class=\"row-striping row-hover row-striping row-hover\">\n\n<tr class=\"row-3\">\n\t<td class=\"column-1\">Associate Software Engineer (ASE)<\/td><td class=\"column-2\">2023 &amp; 2024<\/td><td class=\"column-3\">BE\/B.Tech, MCA, M.Sc. (CSE, IT only)<\/td><td class=\"column-4\">No active Backlog<\/td><td class=\"column-5\">65% or 6.5 CGPA in graduation<\/td>\n<\/tr>\n<\/tbody>\n<\/table><!-- #tablepress-384 from cache --><h2>Top 10 Natural Language Processing Projects for Beginners<\/h2><p>Below are the top 10 simple NLP projects for beginners:<\/p><h3 id=\"text-summarization\">1. Text Summarization<\/h3><p>This project involves developing a model to summarize long pieces of text into concise summaries.<\/p><p>You will learn about text preprocessing, feature extraction, and implementing algorithms for text summarization.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 10 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Easy<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of text preprocessing and summarization techniques.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of NLP concepts<\/li>\n<li>Familiarity with machine learning libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code Editor<\/li>\n<li>NLP libraries (e.g., NLTK, spaCy)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>News article summarization<\/li>\n<li>Document summarization for business reports<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/LunaticPrakash\/Text-Summarization\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"fake-news-detection\">2. Fake News Detection<\/h3><p>This project involves creating a model to detect fake news articles using NLP techniques.<\/p><p>You will learn about text classification, feature extraction, and implementing machine learning algorithms.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 12 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Easy<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of text classification and feature extraction techniques.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of NLP concepts<\/li>\n<li>Familiarity with machine learning libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code Editor<\/li>\n<li>NLP libraries (e.g., NLTK, scikit-learn)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Social media monitoring<\/li>\n<li>News credibility verification<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/vibhorag101\/Fake-News-Detection\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"spam-sms-classification\">3. Spam SMS Classification<\/h3><p>This project involves developing a model to classify SMS messages as spam or not spam.<\/p><p>You will learn about text preprocessing, feature extraction, and implementing classification algorithms.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 10 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Easy<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of text classification and preprocessing techniques.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of NLP concepts<\/li>\n<li>Familiarity with machine learning libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code editor<\/li>\n<li>NLP libraries (e.g., NLTK, scikit-learn)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Spam filtering for messaging apps<\/li>\n<li>Email spam detection<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/akshaybhatia10\/SMS-Spam-Classification\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"toxic-comments-classification\">4. Toxic Comments Classification<\/h3><p>This project involves creating a model to classify comments as toxic or non-toxic using NLP techniques.<\/p><p>You will learn about text preprocessing, feature extraction, and implementing classification algorithms.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 10 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Easy<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of text classification and sentiment analysis techniques.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of NLP concepts<\/li>\n<li>Familiarity with machine learning libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code editor<\/li>\n<li>NLP libraries (e.g., NLTK, TensorFlow)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Moderating online comments<\/li>\n<li>Enhancing social media user experience<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/tianqwang\/Toxic-Comment-Classification-Challenge\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"named-entity-recognition\">5. Named Entity Recognition (NER)<\/h3><p>This project involves developing a model to identify and classify named entities in text, such as names of people, organizations, and locations.<\/p><p>You will learn about tokenization, part-of-speech tagging, and NER algorithms.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 10 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Easy<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of tokenization, POS tagging, and NER.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of NLP concepts<\/li>\n<li>Familiarity with NER libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code Editor<\/li>\n<li>NLP libraries (e.g., spaCy, NLTK)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Information extraction from documents<\/li>\n<li>Automated customer support<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/sebastianruder\/NLP-progress\/blob\/master\/english\/named_entity_recognition.md\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"text-generation\">6. Text Generation<\/h3><p>This project involves creating a model that can generate text based on a given input, using techniques like RNNs or Transformers.<\/p><p>You will learn about sequence modeling and text generation algorithms.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 15 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Medium<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of sequence modeling and text generation.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of deep learning concepts<\/li>\n<li>Familiarity with machine learning libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code Editor<\/li>\n<li>Deep learning libraries (e.g., TensorFlow, PyTorch)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Creative writing tools<\/li>\n<li>Automated content creation<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/klaudia-nazarko\/nlg-text-generation\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"spell-and-grammar-checking\">7. Spell and Grammar Checking<\/h3><p>This project involves developing a model to check and correct spelling and grammar in text.<\/p><p>You will learn about text preprocessing, error detection, and correction techniques.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 15 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Medium<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of error detection and correction in text.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of NLP concepts<\/li>\n<li>Familiarity with NLP libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code Editor<\/li>\n<li>NLP libraries (e.g., spaCy, NLTK)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Text editing software<\/li>\n<li>Online writing assistants<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/besherhasan\/NLP-grammer-and-spell-checker\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"sentence-autocomplete\">8. Sentence Autocomplete<\/h3><p>This project involves creating a model to autocomplete sentences based on the initial input.<\/p><p>You will learn about sequence prediction and language modeling techniques.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 15 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Medium<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of sequence prediction and language modeling.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of deep learning concepts<\/li>\n<li>Familiarity with NLP libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code Editor<\/li>\n<li>Deep learning libraries (e.g., TensorFlow, PyTorch)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Text input prediction<\/li>\n<li>Enhanced typing tools<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/chabir\/Autocomplete-NLP\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"chatbot-using-nlp\">9. Chatbot using NLP<\/h3><p>This project involves developing a chatbot that can interact with users and respond to their queries using NLP techniques.<\/p><p>You will learn about dialogue management, intent recognition, and response generation.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 20 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Medium<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of dialogue systems and chatbot frameworks.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of NLP concepts<\/li>\n<li>Familiarity with chatbot frameworks<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code Editor<\/li>\n<li>Chatbot framework (e.g., Rasa, Dialogflow)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Customer service automation<\/li>\n<li>Virtual assistants<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/roshancharlie\/College-Chatbot-Using-ML-and-NLP\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h3 id=\"sentiment-analysis\">10. Sentiment Analysis<\/h3><p>This project involves creating a model to analyze text data&rsquo;s sentiment, determining whether it is positive, negative, or neutral.<\/p><p>You will learn about text preprocessing, feature extraction, and implementing sentiment analysis algorithms.<\/p><div class=\"su-note\" style=\"border-color:#dddfde;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\"><div class=\"su-note-inner su-u-clearfix su-u-trim\" style=\"background-color:#f7f9f8;border-color:#ffffff;color:#333333;border-radius:3px;-moz-border-radius:3px;-webkit-border-radius:3px;\">\n<p><strong>Duration:<\/strong> 20 hours<\/p>\n<p><strong>Project Complexity:<\/strong> Medium<\/p>\n<p><strong>Learning Outcome:<\/strong> Understanding of sentiment analysis and text classification.<\/p>\n<p><strong>Portfolio Worthiness:<\/strong> Yes<\/p>\n<p><strong>Required Pre-requisites:<\/strong><\/p>\n<ul>\n<li>Basic Python knowledge<\/li>\n<li>Understanding of NLP concepts<\/li>\n<li>Familiarity with machine learning libraries<\/li>\n<\/ul>\n<p><strong>Resources Required:<\/strong><\/p>\n<ul>\n<li>Code Editor<\/li>\n<li>NLP libraries (e.g., NLTK, TextBlob)<\/li>\n<\/ul>\n<p><strong>Real-World Application:<\/strong><\/p>\n<ul>\n<li>Social media monitoring<\/li>\n<li>Market research analysis<\/li>\n<\/ul>\n<p><a class=\"cta-button\" href=\"https:\/\/github.com\/RichardRivaldo\/Sentiment-Analysis\" target=\"blank\" rel=\"nofollow noopener\">Get Started<\/a><\/p>\n<\/div><\/div><h2>Frequently Asked Questions<\/h2><h3>1. What are some easy NLP project ideas for beginners?<\/h3><p>Some easy NLP projects for beginners are:<\/p><ul>\n<li>Text Summarization<\/li>\n<li>Spam SMS Classification<\/li>\n<li>Text Generation<\/li>\n<\/ul><h3>2. Why are NLP projects important for beginners?<\/h3><p>NLP projects are important for beginners as they provide practical experience with text data, helping them understand and apply natural language processing techniques to real-world problems.<\/p><h3>3. What skills can beginners learn from NLP projects?<\/h3><p>From NLP projects, beginners can learn text preprocessing, tokenization, sentiment analysis, named entity recognition, and machine learning model implementation.<\/p><h3>4. Which NLP project is recommended for someone with no prior programming experience?<\/h3><p>A simple Text Summarization NLP project is recommended for someone with no prior programming experience.<\/p><h3>5. How long does it typically take to complete a beginner-level NLP project?<\/h3><p>It typically takes 15 hours to complete a beginner-level NLP project.<\/p><h2>Final Words<\/h2><p>NLP mini projects for beginners can help you build a strong portfolio to ace technical interviews in data science.<\/p><p>Based on your experience and understanding of these NLP projects for beginners, you can develop them to suit your requirements.<\/p><hr><h2>Explore More Project Ideas<\/h2><ul class=\"explore-more\">\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/python-project-ideas-for-beginners\/\">Python<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/java-project-ideas-for-beginners\/\">Java<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/c-programming-project-ideas-for-beginners\/\">C Programming<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/html-and-css-project-ideas-for-beginners\/\">HTML and CSS<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/react-project-ideas-for-beginners\/\">React<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/javascript-project-ideas-for-beginners\/\">JavaScript<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/php-project-ideas-for-beginners\/\">PHP<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/cpp-project-ideas-for-beginners\/\">C++<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/dbms-project-ideas-for-beginners\/\">DBMS<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/sql-project-ideas-for-beginners\/\">SQL<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/excel-project-ideas-for-beginners\/\">Excel<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/angular-project-ideas-for-beginners\/\">Angular<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/node-js-project-ideas-for-beginners\/\">Node JS<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/dsa-project-ideas-for-beginners\/\">DSA<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/django-project-ideas-for-beginners\/\">Django<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/power-bi-project-ideas-for-beginners\/\">Power BI<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/r-programming-project-ideas-for-beginners\/\">R Programming<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/operating-system-project-ideas-for-beginners\/\">Operating System<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/mongodb-project-ideas-for-beginners\/\">MongoDB<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/react-native-project-ideas-for-beginners\/\">React Native<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/golang-project-ideas-for-beginners\/\">Golang<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/matlab-project-ideas-for-beginners\/\">Matlab<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/tableau-project-ideas-for-beginners\/\">Tableau<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/dot-net-project-ideas-for-beginners\/\">.Net<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/bootstrap-project-ideas-for-beginners\/\">Bootstrap<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/c-sharp-project-ideas-for-beginners\/\">C#<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/next-js-project-ideas-for-beginners\/\">Next JS<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/kotlin-project-ideas-for-beginners\/\">Kotlin<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/jquery-project-ideas-for-beginners\/\">jQuery<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/react-redux-project-ideas-for-beginners\/\">React Redux<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/rust-project-ideas-for-beginners\/\">Rust<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/shell-scripting-project-ideas-for-beginners\/\">Shell Scripting<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/vue-js-project-ideas-for-beginners\/\">Vue JS<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/typescript-project-ideas-for-beginners\/\">TypeScript<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/swift-project-ideas-for-beginners\/\">Swift<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/perl-project-ideas-for-beginners\/\">Perl<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/scala-project-ideas-for-beginners\/\">Scala<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/figma-project-ideas-for-beginners\/\">Figma<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/rpa-project-ideas-for-beginners\/\">RPA<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/ui-ux-project-ideas-for-beginners\/\">UI\/UX<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/automation-testing-project-ideas-for-beginners\/\">Automation Testing<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/blockchain-project-ideas-for-beginners\/\">Blockchain<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/cloud-computing-project-ideas-for-beginners\/\">Cloud Computing<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/devops-project-ideas-for-beginners\/\">DevOps<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/selenium-project-ideas-for-beginners\/\">Selenium<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/internet-of-things-project-ideas-for-beginners\/\">Internet of Things<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/web-development-project-ideas-for-beginners\/\">Web Development<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/data-science-project-ideas-for-beginners\/\">Data Science<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/android-project-ideas-for-beginners\/\">Android<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/data-analytics-project-ideas-for-beginners\/\">Data Analytics<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/front-end-project-ideas-for-beginners\/\">Front-End<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/backend-project-ideas-for-beginners\/\">Back End<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/mern-stack-project-ideas-for-beginners\/\">MERN Stack<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/big-data-project-ideas-for-beginners\/\">Big Data<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/data-engineering-project-ideas-for-beginners\/\">Data Engineering<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/full-stack-project-ideas-for-beginners\/\">Full Stack<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/mean-stack-project-ideas-for-beginners\/\">MEAN Stack<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/artificial-intelligence-project-ideas-for-beginners\/\">Artificial Intelligence<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/machine-learning-project-ideas-for-beginners\/\">Machine Learning<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/arduino-project-ideas-for-beginners\/\">Arduino<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/cyber-security-project-ideas-for-beginners\/\">Cyber Security<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/raspberry-pi-project-ideas-for-beginners\/\">Raspberry Pi<\/a><\/li>\n<li><a href=\"https:\/\/www.placementpreparation.io\/blog\/spring-boot-project-ideas-for-beginners\/\">Spring Boot<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Are you interested in practically mastering NLP? Then you are in the right place.But there is a huge crowd looking to master this! To stand out among them you need to create a strong portfolio.You can start creating your unique portfolio by starting with the below-mentioned NLP projects for beginners.10 Beginner-Friendly NLP Project Ideas &ndash; [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":11243,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[],"class_list":["post-11262","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nature-language-processing"],"_links":{"self":[{"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/posts\/11262","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/comments?post=11262"}],"version-history":[{"count":1,"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/posts\/11262\/revisions"}],"predecessor-version":[{"id":11264,"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/posts\/11262\/revisions\/11264"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/media\/11243"}],"wp:attachment":[{"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/media?parent=11262"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/categories?post=11262"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.placementpreparation.io\/blog-live\/wp-json\/wp\/v2\/tags?post=11262"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}