This document provides information about machine learning, data mining, AI, and natural language processing projects available through 2019-2020 IEEE Python Projects at TMKS InfoTech in Bangalore, India. The company is located at #1510, Sri Gowri Shankara Complex, 2nd Floor, MKK Road, Near Harishchandra Ghat, Mariyappanapalya, Rajajinagar 2nd Stage, Bangalore - 560021. The contact is K. Manjunath at 09535866270. A variety of projects are listed under the categories of machine learning, data mining and AI, social networks on sentiment analysis, and natural language processing.

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