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Papers tagged with "Sentiment Analysis"
An Optimized Deep Learning Approach For Sentiment Classification Of Social Media Text Data
Of Late, Big Data And Big Data Analytics Has Fund Applications In Diverse Fields. Social Media And Allied Applications Is One Such Domain For Research, Where Artificial Intelligence Has Shown Unprecedented Impact. In This Paper A Mechanism...
BuySense: A Dual-Model Approach For Purchase Viability Prediction Using Amazon Review Data
This Paper Presents The BuySense, A Machine Learning Application That Predicts Whether A Product Is Worth Purchasing Based On Amazon Review Text Data. The System Builds Two Independent Binary Classifiers—a Viability Model And A Regret Model...
Design And Implementation Of An AI-Powered Mental Health Chatbot Using Machine Learning, NLP, And Deep Learning
Mental Health Disorders Affect Over One Billion People Globally, Yet Timely Professional Support Remains Limited. This Paper Presents MindCare, An AI-powered Mental Health Chatbot Integrating Natural Language Processing (NLP), Machine Learn...
A HYBRID STOCK PRICE FORECASTING SYSTEM USING ARIMA, LSTM, AND SENTIMENT ANALYSIS
The Accurate Forecasting Of Stock Prices Remains One Of The Most Persistent And Challenging Problems In Quantitative Finance, Owing To The Inherently Noisy, Nonstationary, And Nonlinear Nature Of Financial Time Series. Traditional Foreca...
AN INTELLIGENT DEEP LEARNING FRAMEWORK FOR SOCIAL MEDIA BOT DETECTION USING TRANSFORMER BASED MODEL
Nowadays, Social Media Platforms Have Emerged As One Of The Primary Modes Of Communication Where Memes And Comments Are Used Extensively For Spreading Ideas, Humor, And Thoughts. This Increasing Trend, However, Has Been Accompanied By The S...
Cyberbullying Detection And Prevention In Social Networks
The Rapid Growth Of Social Media Platforms Has Significantly Increased The Spread Of Harmful Online Content, Including Cyberbullying And Hate Speech. These Forms Of Communication Negatively Impact Individuals And Communities, Often Leading...
TweetSense: Emotion Detection From Twitter Data Using Natural Language Processing
This Research Investigates The Application Of Natural Language Processing (NLP) Models For Sentiment Analysis Of Twitter Data, A Domain That Has Gained Immense Importance In The Era Of Digital Communication.[1] Twitter, As A Microblogging P...
Smart Review Analysis System Using Machine Learning
The Rapid Proliferation Of Online Movie Reviews Has Created A Pressing Need For Automated Systems Capable Of Distinguishing Spoiler Content From Non-spoiler Opinions. This Paper Presents The Smart Review Analysis System (SRAS), An Intellige...
SALESFORCE-BASED AI HEALTH SUPPORT FOR CUSTOMER RELATIONSHIP MANAGEMENT(CRM) USING NLP AND PREDICTIVE ANALYTICS
Healthcare Smart Support Is An Artificial Intelligence (AI)–based Healthcare Support Management System Developed Using The Salesforce Customer Relationship Management (CRM) Platform And A Python-based Natural Language Processing (NLP) Engin...
AI FOR DETECTING AND MANAGING PERSONAL STRESS LEVEL
In Today’s Fast-paced Digital Era, Stress-related Issues Have Become Increasingly Prevalent, Demanding Intelligent And Accessible Mental Health Solutions. This Paper Presents Zenalyze, An AI-driven Chatbot Designed For Real-time Stress Dete...
A Machine Learning-Based Framework For Early Mental Health Assessment Among Students
Mental Health Concerns Among Students Are Increas- Ingly Prevalent, Yet They Often Go Undetected Due To The Lack Of Structured And Scalable Assessment Frameworks. Conventional Evaluation Methods Tend To Rely On Manual Intervention, Which Is...
Human Sentiment Sound RNN Emotional Analysis With Django interface
Human Sentiment Sound RNNs For Emotional Audio Analysis With A Django Interface" Explores The Intersection Of Deep Learning And Human-computer Interaction By Developing A Recurrent Neural Network (RNN) Model Tailored To Analyze And Classify...
Personalised E-commerce Recommendation System
In The Competitive Landscape Of E-commerce, Providing Personalized Product Recommendations Is A Vital Yet Complex Challenge. Traditional Recommendation Systems Often Fail To Adapt To The Rapidly Changing Preferences Of Users, Resulting In G...
Handwriting And E-text Recognition With Sentiment And Emotion Analysis: A Hybrid Deep Learning Approach
Despite The Convenience Of Pen And Paper, Managing Handwritten Documents Remains Challenging Due To Issues With Storage, Retrieval, And Sharing. Handwriting-to-text Conversion (HTC) Addresses These Limitations By Transforming Handwritten Te...
A Review On Machine Learning Based Approaches For Sentiment Analysis
Data Mining, Opinion Mining, Sentiment Analysis, Machine Learning, Classification Accuracy.