GitHub - hammadhadikhan/Sentiment-Analysis-using-Various-NLP-approaches: I performed sentiment analysis aimed at determining the sentiment of 50000 imDB movie reviews, whether they are positive, negative, or neutral. I employed various NLP approaches including lexicon based approaches, machine learning models, PLM models, and hybrid models, and assessed the performance on each type of model.

hammadhadikhan / Sentiment-Analysis-using-Various-NLP-approaches Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

I performed sentiment analysis aimed at determining the sentiment of 50000 imDB movie reviews, whether they are positive, negative, or neutral. I employed various NLP approaches including lexicon based approaches, machine learning models, PLM models, and hybrid models, and assessed the performance on each type of model.

0 stars 0 forks Branches Tags Activity

Star

Notifications

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Slerp.ipynb		Slerp.ipynb
TA1_FTHP_Roberta.ipynb		TA1_FTHP_Roberta.ipynb
TA1_FT_DistilBERT_GPT2.ipynb		TA1_FT_DistilBERT_GPT2.ipynb
TA1_FT_Roberta.ipynb		TA1_FT_Roberta.ipynb
TA1_PreProcessing(2).ipynb		TA1_PreProcessing(2).ipynb
Text_Analytics_Assignment_1-2.pdf		Text_Analytics_Assignment_1-2.pdf
ta1-ft-roberta(1).ipynb		ta1-ft-roberta(1).ipynb
ta1_ft_roberta (1).ipynb		ta1_ft_roberta (1).ipynb
ta1_ft_roberta (2).ipynb		ta1_ft_roberta (2).ipynb
ta1_preprocessing.ipynb		ta1_preprocessing.ipynb
text-analytics-project-2.ipynb		text-analytics-project-2.ipynb