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Search results for natural language processing lexicon

natural-language-processing x

16 search results found

Hate Speech And Offensive Language ⭐ 698

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

Causal Text Papers ⭐ 675

Curated research at the intersection of causal inference and natural language processing.

THUOCL（THU Open Chinese Lexicon）中文词库

Awesome Sentiment Analysis ⭐ 513

Repository with all what is necessary for sentiment analysis and related areas

German Nlp ⭐ 360

Curated list of open-access/open-source/off-the-shelf resources and tools developed with a particular focus on German

Polish Nlp Resources ⭐ 267

Pre-trained models and language resources for Natural Language Processing in Polish

甲言，专注于古代汉语(古汉语/古文/文言文/文言)处理的NLP工具包，支持文言词库构建、分词、词性标 the 1st NLP toolkit designed for Classical Chinese, supports lexicon construction, tokenizing, POS tagging, sentence segmentation and punctuation.

Id Nlp Resource ⭐ 211

A list of Indonesian NLP resources.

Lemmatization Lists ⭐ 192

Machine-readable lists of lemma-token pairs in 23 languages.

Parser for Attempto Controlled English (ACE)

A modern, interlingual wordnet interface for Python

Lexicon Thai ⭐ 119

คลังศัพท์ภาษาไทย

Lexiconner ⭐ 74

Lexicon-based Named Entity Recognition

Php Nlgen ⭐ 54

NLGen: a library for creating recursive-descent natural language generators

A flexible normalizer for user-generated content

An affect generator based on TextBlob and the NRC affect lexicon. Note that lexicon license is for research purposes only.

Awesome Nlp Resource ⭐ 34

awesome nlp resource

Turkish Lemmatizer ⭐ 32

Lemmatization for Turkish Language

Treebender ⭐ 31

A HDPSG-inspired symbolic natural language parser written in Rust

Taxonomy4good ⭐ 28

Taxonomy4Good: a sustainability lexicon that provides the freedom to create custom taxonomies in addition to listed ESG and Sustainability Standards taxonomies.

Social Media Depression Detector ⭐ 28

😔 😞 😣 😖 😩 Detect depression on social media using the ssToT method introduced in our ASONAM 2017 paper titled "Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media"

Semantic parser induction using a generative model of grammar.

Generic Environment for Context-Aware Correction of Orthography

Wink Lexicon ⭐ 14

English lexicon useful in NLP/NLU

Twitterhybridclassifier ⭐ 13

Source code for the Twitter Hybrid Sentiment Classifier used in Semeval 2014 competition. (Sentiment Analysis system)

Source code for SEKE 2020 paper "SLK-NER: Exploiting Second-order Lexicon Knowledge for Chinese NER"

Python package for emotion analysis in French

Bilingualcorpus ⭐ 11

Sentilex ⭐ 10

Sentiment Lexicon Generation Suite

Kurdishhunspell ⭐ 10

A morphological analyzer and spell checker for Kurdish in Hunspell

Sentimentanalysis Python Demo ⭐ 10

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

Neural_emotion_intensity_prediction ⭐ 9

The code for our proposed neural models which give state-of-the-art performance for emotion intensity detection in tweets.

Open Gram ⭐ 9

collect lexicon and build n-gram dataset for NLP in Chinese

Automatic and generic measures of verbal alignment in dyadic dialogue based on sequential pattern mining at the level of surface of text utterances

自已的实验田，主要是NLP方向。玩了一些分词、句法、消歧、一些工具类等。

Nederlab Pipeline ⭐ 6

Linguistic enrichment pipeline for historical dutch, as used in the Nederlab project

Twitter Sentiment Analysis Using R Shiny ⭐ 6

Project based on text mining:

Financialanalysisusingnlpandmachinelearning ⭐ 6

Used text analytics (NLP) and machine learning to determine the true earnings quality of publicly listed companies

Bilingual Lexicon Induction An Incomplete List ⭐ 5

Predict_bitcoin_using_reddit_sentiment ⭐ 5

Sentiment analysis of Reddit comments to predict bitcoin price movement

gsitk is a framework to perform a wide variety of sentiment analysis tasks including dataset acquisition, text preprocessing, model design, and performance evaluation.

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