Text-Analysis

Classification Model for Sentiment Analysis of Reviews

Text Analysis is an important application of machine learning algorithms. Since the raw text or a sequence of symbols cannot be fed directly to the algorithms themselves as most of them expect numerical feature vectors with proper dimensions rather than the raw text documents which is an example of unstructured data. For Classification you will be using Machine Learning Algorithms such as Logistic Regression. You will also be using some NLP techniques such as count Vectorizer and Term Frequency-Inverse document Matrix (TF-IDF).