Twitter sentiment Analysis

Description

Sentiment analysis on tweets. Given a tweet, decide if it has a positive sentiment or a negative one.

Note

Github doesn't render the formulas using mathjax hence not visible in github

1. logistic regression implementation of sentiment analysis using logistic regression algorithm.

2. Naive Bayes Implementation of sentiment analysis using naive_bayes algorithm

3. Word Vectors Implementation of Prediction of analogies between words and word embeddings comparison using a similarity measure (cosine similarity)

4. Machine TranslationImplementation of English to French words transaltion using word embeddings and vector space models.

4. Parts of Speech Implementation of assigning a part-of-speech tag (Noun, Verb, Adjective...) to each word in an input text.

4. autocomplete Implementation of an Auto-complete system that predicts next word

4. Deep N-GRAM Model Exploring Recurrent Neural Networks RNN by implementing a system to predict next set of characters using previous characters.

4. Nmed Entity Recognition Implementatiopn of model for information extraction that locates and classifies named entities in a text. The named entities could be organizations, persons, locations, times, etc.