Analyze, plot and predicting riots on twitter.
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Updated
Nov 9, 2017 - TypeScript
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Analyze, plot and predicting riots on twitter.
Creates output files containing word counts and P.O.S. Tag distribution using Stanford's Core NLP library
Natural Language Processing project
Interpret Iincoln.txt using stanford coreNLP library
Manual Triple Extraction
Implementación offline/local en Rust para comparar análisis sintáctico NLP entre Stanford CoreNLP y Linguakit, con matriz de decisión técnica y servicios contenerizados.
Report and source code for nlp assignement #1
Hybrid Java + Python NLP pipeline for coreference resolution and relational triple extraction from English and Vietnamese text.
An extended version of the conversion script from brat-flavored standoff to CoNLL format, with additional support for the D. Roth and W. Yih CoNLL 2004 Relation Extractor training format.
A playground for Stanford NLP Group's toolkits and research
In this work we will study the construction of a system of answering questions, question answering systems have always been a major branch of AI and NLP
Python wrapper for Stanford corenlp and utility scripts
This infrastructure, built on Stanford CoreNLP, MapReduce and Spark with Java, aims at processing documents annotations at large scale.
An interactive NLP sandbox
This project evaluates the efficiency and efficacy of sentiment analysis libraries (TextBlob, NLTK, CoreNLP, Stanza) for sentiment analysis of the Turkey earthquake. It aims to uncover insights into their performance and effectiveness in extracting sentiments from the extensive social media data related to the event.
Intelligent AI for Women's Safety Application
Performance-optimised ML news classifier with advanced algorithmic improvements. Features HashMap O(1) lookup optimisation, Stanford CoreNLP integration, and comprehensive benchmarking suite. Demonstrates ML engineering maturity through critical data limitation analysis.
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