Sentiment-and-Text-Analysis-on-Twitter-Data

Sentiment and Text Analysis on Twitter Data

Sentiment analysis For a Twitter dataset with R programming and R STUDIO. Dataset Description: This dataset contains about 87072 rows of data and 11 variables.

Techniques used:

1. Data Mining with big data
2. Text mining and analytics
3. Sentiment analysis using NLP

Tools used:

1. MS Excel
2. RStudio