GitHub - amit-rakesh/Sentiment-Analysis-Movie-Reviews

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commits
Dataset		Dataset
BOW_NB.csv		BOW_NB.csv
BOW_RF.csv		BOW_RF.csv
ReadMe.txt		ReadMe.txt
TFIDF_NB.csv		TFIDF_NB.csv
TFIDF_RF.csv		TFIDF_RF.csv
index.html		index.html
index1.html		index1.html
initapache.sh		initapache.sh
labeledTrainData.tsv		labeledTrainData.tsv
main_bow_nb.py		main_bow_nb.py
main_bow_rf.py		main_bow_rf.py
main_tfidf_nb.py		main_tfidf_nb.py
main_tfidf_rf.py		main_tfidf_rf.py
prepare_text.py		prepare_text.py
query_model.py		query_model.py
start.py		start.py
start1.py		start1.py
testData.tsv		testData.tsv
unlabeledTrainData.tsv		unlabeledTrainData.tsv

Repository files navigation

1. Run the file prepare_text.py to clean the reviews from given tsv files and save them as python lists in a seprate file.

2. Run the main_bow_rf.py to generate the model and save it in Pickle format.

3. Run  query_model.py as follows to check an input string against the model:
	python query_model.py --review <"Input String Here">