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aspect-based-sentiment-analysis

Aspect-Based Sentiment Analysis Experiments

bidirectional-lstm-crf-for-clinical-concept-extraction

Bidirectional LSTM-CRF for Clinical Concept Extraction using i2b2-2010 data

comparative-sentences-mining

Automatically exported from code.google.com/p/comparative-sentences-mining

comparativesentencesextraction

csr

规则方法联合机器学习方法

evnum

Matlab experiments of the Electric Vehicle charging Network Utility Maximization

finegrainedopinionmining

细粒度情感分析repository2：细粒度情感分析接口，aspect-based sentiment analysis based on HMM.

iep-miner

A java implementation of a comparable entitity miner

jieba

结巴中文分词

machinelearning

一些关于机器学习的学习资料与研究介绍

mem_absa

Aspect Based Sentiment Analysis using End-to-End Memory Networks

namedentity_realtion_extraction

基于句法分析的命名实体关系抽取程序

nlpir

nltk

NLTK Source

prefixspan-py

The shortest yet efficient implementation of famous frequent sequence mining algorithm PrefixSpan in Python.

relation-extraction

entity relation project for Information Extraction, Sping 2014

sentiment

Classify the sentiment of sentences from the Rotten Tomatoes dataset "There's a thin line between likably old-fashioned and fuddy-duddy, and The Count of Monte Cristo ... never quite settles on either side." The Rotten Tomatoes movie review dataset is a corpus of movie reviews used for sentiment analysis, originally collected by Pang and Lee. In their work on sentiment treebanks, Socher et al. used Amazon's Mechanical Turk to create fine-grained labels for all parsed phrases in the corpus. This project presents a chance to benchmark your sentiment-analysis ideas on the Rotten Tomatoes dataset. We have to label phrases on a scale of five values: negative, somewhat negative, neutral, somewhat positive, positive. Obstacles like sentence negation, sarcasm, terseness, language ambiguity, and many others make this task very challenging.

sequential_classifiers

some classifying of sequences

waimaiopinionminer

细粒度情感分析repository1：Wai Mai Opinion Miner，细粒度情感分析系统GUI demo。