Sentiment-Analysis-Part-2-Phrase-modeling

Sentiment analysis on Autonoumous cars

Project is conducted on tweets on autonoumous cars with sentiment labels (1 to 5, negative to postive scale)

Dataset

Data is collected from http://www.crowdflower.com/data-for-everyone which contain these reviews about the self-driving cars. This dataset contains 7,156 observations and 9 variables and Kaggle

This project consists of 3 parts:

• Sentiment analysis using Supervised ML models, Compared models i.e logistic regression, KNN, SVM, Decision Tree,Naive Bayes and Random Forest
• Semi supervised (Doc2vec modeling for understanding context in senstiment analysis)- code in this repository
• Topic modeling, is a clustering technique to identify top topic from the tweets

Workflow of project