NLP Latest IEEE Projects List
Project ID | Domain | Project Title | Technology |
|---|---|---|---|
MT-25-NLP-0001 | EMAIL PHISHING | PhishNet: NLP-Enhanced Machine Learning for Phishing Email Detection | |
MT-25-NLP-0002 | MEDIA | TuneTalk: Sentiment Analysis of Spotify Reviews Using NLP and Machine Learning | |
MT-25-NLP-0003 | MEDIA | StreamSentiment: Analyzing Netflix Reviews with NLP and Machine Learning | |
MT-25-NLP-0004 | FAKE REVIEWS | Detecting and Classifying Fake Product Reviews Using Machine Learning Algorithms | |
MT-25-NLP-0005 | HEALTH | HealthPredict: Advanced Analytics and Machine Learning on Healthcare | |
MT-25-NLP-0006 | MEDIA | TweetSent: Sentiment Analysis on Twitter Data Using NLP and Machine Learning | |
MT-25-NLP-0007 | FINANCIAL | FinNewsNet: High-Quality Financial News for NLP Applications | |
MT-25-NLP-0008 | REVIEWS | ChatSent: Analyzing ChatGPT Reviews with NLP and Machine Learning | |
MT-25-NLP-0009 | MEDIA | NewsTruth: Distinguishing Fake and Real News Using NLP | |
MT-25-NLP-0010 | REVIEWS | AmazonVibe: Sentiment Analysis on Amazon Reviews Using NLP | |
MT-25-NLP-0011 | REVIEWS | AmazonEcho: Daily Updated Sentiment Analysis of Amazon Shopping Reviews | |
MT-25-NLP-0012 | MEDIA | SocialFeel: Sentiment Analysis of Social Media Posts | |
MT-25-NLP-0013 | COURSE | CourseMatch: Relevance Analysis for Academic Courses | |
MT-25-NLP-0014 | E COMMERCE | Product Policy Compliance Prediction Using Machine Learning for Enhanced E-Commerce Product Recommendations | |
MT-25-NLP-0015 | MEDICAL | Classifying Medical Transcriptions by Specialty Using Machine Learning Algorithms | |
MT-25-NLP-0016 | SPEAK | SpeakSense: Analyzing Speaking Topics | |
MT-25-NLP-0017 | REVIEWS | NewsCat: Categorizing News Articles | |
MT-25-NLP-0018 | REVIEWS | ResuData: Analyzing Resumes | |
MT-25-NLP-0019 | REVIEWS | TenseNet: English Tense Classification | |
MT-25-NLP-0020 | E COMMERCE | E-Fashionista: Women's E-Commerce Clothing Reviews Analysis | |
MT-25-NLP-0021 | MEDIA | ChartLyrics: Analysis of Top 100 Songs and Lyrics by Year (1959-2023, USA) | |
MT-25-NLP-0022 | REVIEWS | SocialInsight: Daily Analysis of Facebook Reviews | |
MT-25-NLP-0023 | MEDIA | WikiText: Analysis of Wikipedia Sentences | |
MT-25-NLP-0024 | MEDIA | SentimentNet: Sentiment Analysis | |
MT-25-NLP-0025 | EMOTION | EmoNet: Emotion Analysis in NLP | |
MT-25-NLP-0026 | HEALTH | COVID-TweetNet: Text Classification of Coronavirus Tweets | |
MT-25-NLP-0027 | EMOTION | Emotion Classification | |
MT-25-NLP-0028 | CYBER | CyberSafe: Classification of Cyberbullying Instances | |
MT-25-NLP-0029 | JOB | JobLink Insights: Analysis of LinkedIn Job Postings (2023 - 2024) | |
MT-25-NLP-0030 | HEALTH | MindChat: Mental Health FAQ for Chatbot | |
MT-25-NLP-0031 | MEDIA | BotSpeak: Training Chatbots using NLP and Deep Learning | |
MT-25-NLP-0032 | LANGUAGE | LangTranslateNet: English-French Language Translation | |
MT-25-NLP-0033 | MEDIA | SpotTuneNet: Spotify Million Song Analysis | |
MT-25-NLP-0034 | REVIEWS | EchoFeedback: Analysis of Amazon Alexa Reviews | |
MT-25-NLP-0035 | HUMAN GENERATE | AIvsHumanText: Comparison of AI and Human-generated Text | |
MT-25-NLP-0036 | REVIEWS | AliReviewNet: Analysis of AliExpress Product Reviews | |
MT-25-NLP-0037 | SENTIMENT | Sentiment Analysis using NLP and Machine Learning | |
MT-25-NLP-0038 | REVIEWS | McDonaldsReviewNet: Analysis of McDonald's Store Reviews | |
MT-25-NLP-0039 | REVIEWS | WhatsAppInsight: Daily Updated Analysis of WhatsApp Reviews | |
MT-25-NLP-0040 | MEDIA | MoviePlotWiki: Wikipedia Movie Plots Analysis | |
MT-25-NLP-0041 | HEALTH | StressPredictNet: Human Stress Prediction Using NLP | |
MT-25-NLP-0042 | TOPIC | TopicClassifyNet: Topic Classification Using NLP | |
MT-25-NLP-0043 | NEWS | IndiaNewsHeadlinesNet: India News Headlines Using NLP | |
MT-25-NLP-0044 | EMOTION | GoEmotionsNet: Google Emotions Using NLP | |
MT-25-NLP-0045 | MEDIA | EmpathDialogNet: Facebook AI's 25k Empathetic Dialogues | |
MT-25-NLP-0046 | MEDIA | Anime Subtitles Analysis using NLP | |
MT-25-NLP-0047 | MEDIA | KDramaNet: Korean Dramas (2015-2023) with Actors & Reviews using NLP | |
MT-25-NLP-0048 | MEDIA | AppGameTopNet: Windows Store Top Apps & Games Using NLP | |
MT-25-NLP-0049 | NEWS | NewsCategoryNet: NLP for News Category Classification | |
MT-25-NLP-0050 | EmailClassifyNet: NLP for Email Classification | ||
MT-25-NLP-0051 | ESSAY | IELTSWritingScoreNet: NLP for Scored IELTS Writing Essays | |
MT-25-NLP-0052 | HISTORY | PhilosophyHistoryNet: NLP for the History of Philosophy | |
MT-25-NLP-0053 | MEDIA | DisasterTweetNet: NLP for Disaster Tweets | |
MT-25-NLP-0054 | TEXT | TextEmotionNet: NLP for Emotion Analysis Based on Text | |
MT-25-NLP-0055 | REVIEWS | ClothingReviewNet: NLP for Consumer Reviews of Clothing Products | |
MT-25-NLP-0056 | REVIEWS | RestaurantReviewNet: NLP for Analyzing Restaurant Reviews | |
MT-25-NLP-0057 | MEDIA | SMSSpamNet: NLP for Text Classification of SMS Spam | |
MT-25-NLP-0058 | REVIEWS | AmazonReviewNet: NLP for Amazon Product Reviews | |
MT-25-NLP-0059 | REVIEWS | FlipkartReviewNet: NLP for Flipkart Product Reviews | |
MT-25-NLP-0060 | MEDIA | SimpsonsDialogueNet: NLP for Dialogue Lines from The Simpsons | |
MT-25-NLP-0061 | WEBSITE | WebsiteClassificationNet: NLP for Website Classification | |
MT-25-NLP-0062 | MEDIA | ToxicTweetNet: NLP for Toxic Tweets | |
MT-25-NLP-0063 | RECIPES | LargeRecipeNet: Over 2 Million Recipes | |
MT-25-NLP-0064 | MEDIA | US Economic News Articles: A for NLP with Annotated Tone and Relevance | |
MT-25-NLP-0065 | POEM | Poem Classification Using NLP | |
MT-25-NLP-0066 | MEDIA | Play Store Apps Analysis Using NLP | |
MT-25-NLP-0067 | REVIEW | NLP for Analyzing Apple iPhone SE Reviews and Ratings: Extracting Key Insights | |
MT-25-NLP-0068 | MEDIA | French Twitter Sentiment Using NLP | |
MT-25-NLP-0069 | SPAM | Spam Classification for Natural Language Processing | |
MT-25-NLP-0070 | MEDIA | Flipkart Laptop Pricing and Availability Analysis | |
MT-25-NLP-0071 | MEDIA | Sentiment Analysis of Tweets from India's Political Parties | |
MT-25-NLP-0072 | LANGUAGE | NLP for Language Detection | |
MT-25-NLP-0073 | CYBER | Cyber Threat Detection and Mitigation Using NLP | |
MT-25-NLP-0074 | MEDIA | IMDB Movie Ratings Sentiment Analysis Using NLP | |
MT-25-NLP-0075 | MEDIA | Social Media Sentiment Analysis Using NLP | |
MT-25-NLP-0076 | SENTIMENT | NLP-Based Suicide and Depression Detection from Text | |
MT-25-NLP-0077 | SPAM | NLP-Based SMS Spam Detection | |
MT-25-NLP-0078 | FAKE NEWS | FakeNewsDetector: NLP-Based Classification of Fake vs. Real News | |
MT-25-NLP-0079 | EMOTION | EmotionClassify: NLP for Classifying Tweets by Joy, Sadness, Anger, and Fear | |
MT-25-NLP-0080 | REVIEWS | ShopperSentiments: Analyzing Fashion Reviews and Trends with NLP | |
MT-25-NLP-0081 | JUDGMENT | CourtPredict: Predicting Supreme Court Judgments with NLP | |
MT-25-NLP-0082 | INSIGHTS | NLP for Analyzing People Slurs: Insights from a Text Dataset | |
MT-25-NLP-0083 | DEVELOPMENT | Developing a Self-Learning Chatbot with Advanced NLP Techniques | |
MT-25-NLP-0084 | CYBER | NLP for Cyberbullying Detection: Classifying Social Media Comments with Efficient Metadata Extraction | |
MT-25-NLP-0085 | INSIGHTS | NLP for Global Wine Ratings: Extracting Insights into Wine Quality Across Regions | |
MT-25-NLP-0086 | MEDIA | NLP for E-Mail Classification: Text Classification Techniques for Efficient Sorting | |
MT-25-NLP-0087 | JUDGMENT | NLP for Analyzing Indian Supreme Court Judgments: Extracting Insights from Legal Texts | |
MT-25-NLP-0088 | PRODUCT | NLP for Analyzing Luxury Apparel Data: Extracting Insights from Detailed Clothing Product Information | |
MT-25-NLP-0089 | REVIEWS | NLP for Tata Motors Employee Reviews: Extracting People Insights from Employee Feedback | |
MT-25-NLP-0090 | REVIEWS | NLP for Analyzing Instagram and Play Store Reviews: Insights from User Feedback | |
MT-25-NLP-0091 | MEDIA | NLP for Analyzing YouTube Trending Videos: Insights into Daily Trends and Popularity | |
MT-25-NLP-0092 | INSIGHTS | NLP for Analyzing Constitutional Texts: Insights from Tabular and Textual Data | |
MT-25-NLP-0093 | REVIEWS | NLP for Analyzing British Airways Customer Reviews: Insights from Passenger Feedback | |
MT-25-NLP-0094 | REVIEWS | NLP for Analyzing 'Livin' by Mandiri' App Reviews: Insights from 155k+ Indonesian Reviews on Google Play Store | |
MT-25-NLP-0095 | MEDIA | NLP for Analyzing Dutch News Articles: Insights from NOS Publications | |
MT-25-NLP-0096 | CATEGORIES | NLP for Yahoo! Answers Topic Classification: Analyzing Data from 10 Major Categories | |
MT-25-NLP-0097 | INSIGHTS | NLP for Analyzing Tweets on the Turkey and Syria Earthquake: Insights from Recent Social Media Reactions | |
MT-25-NLP-0098 | INSIGHTS | NLP for Analyzing Reviews of Universal Studios: Insights from Ratings of 3 Branches | |
MT-25-NLP-0099 | CUSTOMER | NLP for Analyzing Airways Customer Data: Building Predictive Models to Understand Buying Behavior | |
MT-25-NLP-0100 | REVIEWS | NLP for Analyzing Amazon Best Sellers and Reviews Across All Categories | |
MT-25-NLP-0101 | INSIGHTS | NLP for Analyzing the Constitution of India: Extracting Insights from Legal Texts | |
MT-25-NLP-0102 | INSIGHTS | NLP for Detecting Recruitment Scams: Analyzing Patterns and Insights | |
MT-25-NLP-0103 | MEDIA | NLP for Analyzing Google News Headlines on War: Insights from 21 Countries | |
MT-25-NLP-0104 | INSIGHTS | NLP for Analyzing Jio Mart Product Items: Insights from Product Data | |
MT-25-NLP-0105 | INSIGHTS | NLP for Analyzing Public Opinion on NASA's Climate Posts: Insights from Social Media Feedback | |
MT-25-NLP-0106 | REVIEWS | NLP for Analyzing Pizza Hut Reviews: Extracting Insights from Customer Feedback | |
MT-25-NLP-0107 | EnronEmailNet: NLP for Email Classification | ||
MT-25-NLP-0108 | AUGMENT | AugmentTransNet: NLP for Enhanced Dataset Augmentation through Translation | |
MT-25-NLP-0109 | CARD | HearthstoneLangNet: NLP for Translating Card Names and Descriptions | |
MT-25-NLP-0110 | JOBS | JobSkillExtractor: NLP for Extracting IT Skills from Job Descriptions | |
MT-25-NLP-0111 | REVIEWS | AirportReviewAnalyzer: NLP for Scraped Airport Review Data | |
MT-25-NLP-0112 | SECURITY | PassStrengthClassifier: Evaluating Password Security Levels Using NLP | |
MT-25-NLP-0113 | JOBS | TechInterviewInsights: Analyzing 7000+ Interview Experiences with NLP | |
MT-25-NLP-0114 | JOBS | JobScamDetector: Fraudulent Job Posting Identification using NLP | |
MT-25-NLP-0115 | SPEECH | SpeechGuard: Detection of Normal, Hate, and Offensive Speeches using NLP | |
MT-25-NLP-0116 | JOBS | TweetRecruit: Analyzing Job Vacancy Posts using NLP | |
MT-25-NLP-0117 | REVIEWS | Analyzing Book Reviews using NLP | |
MT-25-NLP-0118 | MEDIA | Curated AI/ML YouTube Video Analysis using NLP | |
MT-25-NLP-0119 | MEDIA | WisdomTweets: Analyzing Enlightened Thoughts from Twitter | |
MT-25-NLP-0120 | DEVICE | AppDescNet: Analyzing Mobile Apps and Their Descriptions | |
MT-25-NLP-0121 | NEWS | NLP-Based Football News Authenticity Classification | |
MT-25-NLP-0122 | MEDIA | Analyzing and Categorizing Top Apps and Games from the Windows Store Using NLP | |
MT-25-NLP-0123 | MEDIA | Analyzing Facebook/Meta Mentions on Twitter Using NLP Techniques | |
MT-25-NLP-0124 | REVIEWS | Classifying Coffee Maker Reviews Using NLP Techniques | |
MT-25-NLP-0125 | LANGUAGE | Detecting Hate Speech and Offensive Language Using Machine Learning Techniques | |
MT-25-NLP-0126 | DEVICE | Analyzing Samsung Internal SSD Reviews Using NLP Techniques | |
MT-25-NLP-0127 | HEALTH | DrugRatingNet: Machine Learning for Identifying Best Drugs Based on Patient Ratings | |
MT-25-NLP-0128 | EMAIL PHISHING | Enhanced Phishing URL Detection Using Machine Learning | |
MT-25-NLP-0129 | Detection and Localization of Toxic Spans in User Comments |
