fastText for Fast Sentiment Analysis

fastText is a Library for fast text representation and classification which recently launched by facebookresearch team. The related papers are “Enriching Word Vectors with Subword Information” and “Bag of Tricks for Efficient Text Classification“. I’m very interested in the text … Continue reading →

Dive Into NLTK, Part IX: From Text Classification to Sentiment Analysis

This is the ninth article in the series “Dive Into NLTK“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with NLTK Part II: Sentence Tokenize and Word … Continue reading →

We have launched the Professional Text Sentiment Analysis API on Mashape

We have launched the Professional Text Sentiment Analysis API on Mashape, which include stock text sentiment and twitter text sentiment. The model is independently trained by stock related text and twitter related text and provides the sentiment result with confidence. … Continue reading →

Dive Into NLTK, Part VIII: Using External Maximum Entropy Modeling Libraries for Text Classification

This is the eighth article in the series “Dive Into NLTK“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with NLTK Part II: Sentence Tokenize and Word … Continue reading →

Dive Into NLTK, Part VII: A Preliminary Study on Text Classification

This is the seventh article in the series “Dive Into NLTK“, here is an index of all the articles in the series that have been published to date: Part I: Getting Started with NLTK Part II: Sentence Tokenize and Word … Continue reading →