This is a information retrieval framework for twitter.
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Updated
Dec 14, 2016 - Java
Natural language processing (NLP) is a field of computer science that studies how computers and humans interact. In the 1950s, Alan Turing published an article that proposed a measure of intelligence, now called the Turing test. More modern techniques, such as deep learning, have produced results in the fields of language modeling, parsing, and natural-language tasks.
This is a information retrieval framework for twitter.
A useful graphical desktop application for Natural Language Processing
This repo contains all the java code I have done on various things including NLP.
Computes the semantic similarity of tweets. Includes training and validation.
Kaggle competition hosted by Amazon along with Openday at IISc
Nlp tools in Java, Python. With examples and installation requirements. Examples focused in spanish language
The goal for this project is to research and present a method for hebrew short messages stylometry. The system that should be implemented should be able to identify an author of a message based on previously learned authoring style. The goal is to study the features required for such identification, when working on short messages in Hebrew langu…
Cross Document Event Coreference
Generate NLP features for statistical analysis and machine learning.
An application designed for research scholars to examine and organise collections of research papers and journals
A modified version of the Stanford CoreNLP full 3.6.0, in which the machine reading classes for Relation Extraction now support extra parameters for definitions of custom NER entities.
Synonym and semantic analysis through machine learning
stanford corenlp example by fish.ai
DEPSTAR Enquiry Chatbot
Simple implementation of Snowball Stemmer (http://snowballstem.org/) in Java with Stemmers for 20+ languages. Helpful to reduce tokens to their core syntax esp. when processing them in Machine Learning Models (ML). (Natural Language Processing) features.
lda_blog_topic_prediction
Document Clustering project utilizing K-Means algorithm. Requires Stanford CoreNLP as a dependency. From my undergraduate course in Predictive Analytics taken with Anasse Bari at NYU.
Created by Alan Turing