• Sentiment analysis

Text Mining-based Sentiment Analysis with python, dealing with parts-of-speech preprocessing filter.

Requirements: Python3; Modules: numpy, scipy, beautifulsoup4, sklearn (and sckit-learn), nltk (you can use pip3 to install them). In python3 console, type: import nltk nltk.download() d And then download stopwords and averaged_perceptron_tagger modules.

Suggested datasets: https://www.crowdflower.com/data-for-everyone/

Basic usage: python3 pos_extractor.py CSV_DATSET_FILEPATH TEXT_COLUMN SENTIMENT_COLUMN`