Text Classification Task ( sentiment analysis ) of Twitter datasets

b) EDA (Exploratory Data Analysis): EDA.ipynb

        Data Visualisation:     Wordcloud, Countplot, Frequency 
        
        Data Preprocessing:     Stop words removal, Lemmatization

c) Classifications Task:

tfidf (embedding) + multinomial Naive Bayes based modelling : tfidf_mtltNB.ipynb
Word2Vec (embedding) + multinomial Naive Bayes based modelling : Word2vec_mltNB.ipynb
Word2Vec (embedding) + deep learning ( 1 input + 1 dense + 1 output layer) based modelling : Word2vec_nn.ipynb

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
EDA.ipynb		EDA.ipynb
README.md		README.md
Twitter_Data.csv		Twitter_Data.csv
Word2vec_mltNB.ipynb		Word2vec_mltNB.ipynb
Word2vec_nn.ipynb		Word2vec_nn.ipynb
preprocessed_data.csv		preprocessed_data.csv
tfidf_mltNB.ipynb		tfidf_mltNB.ipynb

Provide feedback