Skip to content
/ Sentiment-Analysis-using-Various-NLP-approaches Public

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 You must be signed in to change notification settings

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

BranchesTags

Folders and files

NameName
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

 
 

About

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.

Topics

natural-language-processing sentiment-analysis word2vec text-analysis nltk albert vader-sentiment-analysis skipgram textblob sentiwordnet gensim-word2vec roberta gpt2 lexicon-based distilbert cbow-embeddings
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages