arefa29 / NLP-Sentiment-Analysis

Analyzing hotel reviews and performing sentiment analysis using Natural Language Processing. Pipeline used = TF-IDF + Logistic regression

NLP-Sentiment-Analysis

Analyzing hotel reviews and performing sentiment analysis using Natural Language Processing.

Pipeline:

1. TF-IDF vectorizer

Term frequency-inverse document frequency is the text vectorizer used that transforms the text into a usable vector.

2. Logistic Regression Classifier

Logistic regression, a supervised learning classification algorithm, is used to predict the probability of the target variable. Here we use binomial logistic regression to predict whether review is 'happy' or 'unhappy'.