CMPE-256-Project - Sentiment analysis on Hotel reviews

Used following machine learning techniques to identify Positive and negative records.

• SVM
• NaiveBayesClassifier
• Random Forest

Instruction to run the code

• Python should be installed on your operating system (Anaconda2 Recommended).
• Make sure you have sklearn, pandas, numpy, matplotlib, scipy, wordcloud, nltk packages installed.
• Download the english stopwords from nltk.
• Make sure “deceptive-opinion.csv” file are present in the same directory of the source code.
• Run the code using jupyter Notebook or any other interactive python command shell.

svm-FinalProject is the our final project code which has the highest F1 score.