I have launched WordSimilarity on April, which focused on computing the word similarity between two words by word2vec model based on the Wikipedia data. The website has the English Word2Vec Model for English Word Similarity: Exploiting Wikipedia Word Similarity by … Continue reading →
Text Analysis Online no longer provides Text Summarization API Interface, but keep the related demo just for testing: Simple Text Summarizer: http://textanalysisonline.com/simple-text-summarizer Rotten Text Summarizer: http://textanalysisonline.com/rotten-text-summarizer PyTeaser Text Summarizer: http://textanalysisonline.com/pyteaser-text-summarizer We recommend you use our professional Text Summarization API: Text … Continue reading →
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 →
MBSP is a Python text analysis tool like NLTK, TextBlob, Pattern. About MBSP for Python According MBSP official website: MBSP is a text analysis system based on the TiMBL and MBT memory based learning applications developed at CLiPS and ILK. … Continue reading →
Text Summarization API Document is Ready, you can find it here: Text Summarization API Document. For programming languages support by Text Summarization API, you can find the document link below: Text Summarization API for Python Text Summarization API for Ruby … Continue reading →
We have launched the Professional Text Summarization API on Mashape which is based on advanced Natural Language Processing and Machine Learning technologies: After surveyed the Automatic Text Summarization API on Mashape: Getting Started with the Automatic Text Summarization API on … Continue reading →
Automatic Text Summarization is one of popular text processing tasks, according wikipedia, Text Summarization is referred as Automatic Summarization: Automatic summarization is the process of reducing a text document with a computer program in order to create a summary that … Continue reading →