avikshit-banerjee/semantic-and-sentiment-analysis-of-low-frequency-linguisics-using-bert

Semantic, Sentiment and Geographical Analysis of low-frequency linguists on Twitter

Semantic-and-Sentiment-Analysis of low-frequency linguistics using BERT (Twitter)

Code works in the following sequential order:

1. Data Pre-processing
2. Statistical analysis with graphs and word-clouds
3. Sentiment Classification using BERT
4. Visualisations using Bubble plots
5. Data was scrapped and gathered courtesy of Twitter API and consolidated by Strelluf,C. (Strelluf, 2022)

• Cite as: Banerjee, A., Strelluf, C."Sentiment and Semantic Analysis of NEED-passives in Twitter" Master's Dissertation. University of Warwick.
• For access to dataset, e-mail at [email protected]