2019 and 2020 python with Sentiment Analysis
- 1. 2019-2020 IEEE Python Projects,TMKS InfoTech, Bangalore #1510,Sri Gowri Shankara Complex, 2nd Floor,MKK Road, Near Harishchandra Ghat, Mariyappanapalya, Rajajinagar 2nd Stage, Bangalore - 560021. Contact :: K.Manjunath -- 09535866270 Machine Learning 1. Weakly-supervised Deep Embedding for Product Review Sentiment Analysis 2. Personalized affective feedback to address students’ frustration in ITS 3. Analysis of women safety in Indian cities using machine learning on tweets 4. Feature extraction for next-term prediction of poor student performance 5. Spammer Detection and Fake User Identification on Social Networks 6. Serendipity—A Machine-Learning Application for Mining Serendipitous Drug Usage from Social Media 7. Sentiment Classification using N-gram IDF and Automated Machine Learning 8. Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation 9. Location Inference for Non-geotagged Tweets in User Timelines 10. Detection of fake online reviews using semi-supervised and supervised learning 11. Competitive Bike: Competitive Analysis and Popularity Prediction of Bike-Sharing Apps Using Multi-Source Data 12. Prediction of Heart Disease Using Machine Learning Algorithms 13. Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine Data Mining and AI 1. Achieving Data Truthfulness and Privacy Preservation in Data Markets 2. Leveraging Product Characteristics for Online Collusive Detection in Big Data Transactions 3. Collaborative Filtering-based Electricity Plan Recommender System Social Networks on Sentiment Analysis 1. SentiDiff: Combining Textual Information and Sentiment Diffusion Patterns for Twitter Sentiment Analysis
- 2. 2019-2020 IEEE Python Projects,TMKS InfoTech, Bangalore #1510,Sri Gowri Shankara Complex, 2nd Floor,MKK Road, Near Harishchandra Ghat, Mariyappanapalya, Rajajinagar 2nd Stage, Bangalore - 560021. Contact :: K.Manjunath -- 09535866270 Natural Language Processing 1. Detection of depression-related posts in reddit social media forum 2. Sentiment lexicon construction with hierarchical supervision topic model 3. Crop Yield Prediction and Efficient use of Fertilizers