This project helps in analysing company employee feedback.Feedback are analysed by two approach:
1) Sentiment analysing according to department, section or choices.
2) summerizing the employee review based on department, section or choices.
3) Visualizing overall sentiment flow.
Dataset for the project is taken from HERE
For transfer learning, we are using ULMFIT model which is trained on wiki103 dataset.
Required dependencies are listed out in requiremennt file.
- Sentiment analysis: Analysing text into five different catagories viz Extremly Positive, Positive, Neutral, Negative and Extremly Negative.
2)Summerizer: Summerizing the review feedack given by employee.
3)Visualizing the overall sentiment:
4)See what most of the employee are talking about:
