VADAR MODEL
- Achivements
This model looks at each words in a sentence and score them on the bases of its sentiment.
At the end we found out that there is a relation between the score that is given by customer and their sentiment.
- Problem
As we all that human language depands alot on context either than just words but this model fail to estabilish any relation with context of sentence.
Roberta Pretrained Model
- Use a model trained of large corpus of data.
- Transformer model accounts for the words but also the context related to other words.