GitHub - Krish4tech/Sentiment-analysis-Project-1-: I developed a Sentiment Analysis System that classifies text as positive, negative, or neutral. I used Python, NLP techniques, and TF-IDF vectorization to convert text into numerical form and trained a machine learning model for prediction. I also built a PyQt GUI so users can easily input text and view sentiment results in real time.

Branches Tags

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Report.txt		Report.txt
check_label.py		check_label.py
data_preprocess.py		data_preprocess.py
gen_dataset.py		gen_dataset.py
gui.py		gui.py
processed_data.csv		processed_data.csv
raw_data.csv		raw_data.csv
sentiment_model.pkl		sentiment_model.pkl
test.model.py		test.model.py
tfidf_vectorizer.pkl		tfidf_vectorizer.pkl
train_model.py		train_model.py

About

I developed a Sentiment Analysis System that classifies text as positive, negative, or neutral. I used Python, NLP techniques, and TF-IDF vectorization to convert text into numerical form and trained a machine learning model for prediction. I also built a PyQt GUI so users can easily input text and view sentiment results in real time.