Text Analysis Online no longer provides NLTK Stanford NLP API Interface

Text Analysis Online no longer provides NLTK Stanford NLP API Interface, but keep the related demo just for testing: NLTK Stanford POS Tagger: http://textanalysisonline.com/nltk-stanford-postagger NLTK Stanford Named Entity Recognizer: http://textanalysisonline.com/nltk-stanford-ner NLTK Stanford Named Entity Recognizer for 7Class: http://textanalysisonline.com/nltk-stanford-ner-7class NLTK Stanford … Continue reading →

Getting Started with Word2Vec and GloVe

Word2Vec and GloVe are two popular word embedding algorithms recently which used to construct vector representations for words. And those methods can be used to compute the semantic similarity between words by the mathematically vector representation. The c/c++ tools for … Continue reading →

We have launched the Professional Document Similarity API on Mashape

We have launched the Professional Document Similarity API on Mashape, which support compare two english text document similarity. You can use our demo on the Document Similarity website: Document Similarity Demo. Document Similarity API is based on advanced Natural Language … 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 →

Dive Into NLTK, Part VI: Add Stanford Word Segmenter Interface for Python NLTK

This is the sixth 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 V: Using Stanford Text Analysis Tools in Python

This is the fifth 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 IV: Stemming and Lemmatization

This is the fourth 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 III: Part-Of-Speech Tagging and POS Tagger

This is the third 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 →