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goto456 avatar

goto456/stopwords

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Stopwords

This project provides a curated collection of high-frequency, non-informative Chinese words sourced from academic and industry standards. It serves as a reference dataset and a stopword collection designed for use in natural language processing tasks.

The repository focuses on Chinese text preprocessing to reduce noise and improve the accuracy of machine learning models. It provides filtered datasets specifically for Chinese information retrieval, sentiment analysis preparation, and general data cleaning.

The project utilizes pre-compiled lexicons and flat-file storage to enable efficient stopword filtering and vocabulary aggregation for Chinese corpora.

Features

  • Stopword Corpora - Provides a reference dataset of high-frequency stop words sourced from academic and industry standards like HIT and Baidu.
  • Stopword Collections - Provides curated lists containing common non-informative Chinese words for use in natural language processing tasks.
  • Stopword Filtering - Removes common non-informative words from Chinese text datasets to improve the accuracy of natural language processing tasks.
  • Noise Reduction Datasets - Filters out redundant words from Chinese corpora to reduce noise and improve model training accuracy.
  • Chinese Text Preprocessing - Cleans Chinese text datasets by removing common non-informative words to improve the quality of natural language processing.
  • Pre-compiled Stopword Lexicons - Provides curated lists of common words from established academic and corporate sources for immediate use.
  • Text and NLP Preprocessing - Provides a collection of words used to filter noise and improve the accuracy of text analysis and machine learning models.
  • Preprocessing Lexicons - Prepares Chinese text for sentiment analysis by stripping away common stop words that do not carry emotional meaning.
  • Aggregated Stopword Lists - Provides a unified set by aggregating multiple authoritative Chinese word lists to increase filtering coverage.
  • Chinese Language Optimizations - Improves the precision of Chinese search and retrieval systems by ignoring frequently occurring but unimportant words.

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Frequently asked questions

What does goto456/stopwords do?

This project provides a curated collection of high-frequency, non-informative Chinese words sourced from academic and industry standards. It serves as a reference dataset and a stopword collection designed for use in natural language processing tasks.

What are the main features of goto456/stopwords?

The main features of goto456/stopwords are: Stopword Corpora, Stopword Collections, Stopword Filtering, Noise Reduction Datasets, Chinese Text Preprocessing, Pre-compiled Stopword Lexicons, Text and NLP Preprocessing, Preprocessing Lexicons.

What are some open-source alternatives to goto456/stopwords?

Open-source alternatives to goto456/stopwords include: wainshine/chinese-names-corpus — This project is a curated collection of Chinese names, surnames, and kinship terms designed for linguistic analysis… fastai/course-v3 — This repository is a comprehensive educational program and deep learning framework designed to teach practical deep… dongrixinyu/jionlp — JioNLP is a Chinese natural language processing toolkit designed for cleaning, normalizing, and extracting structured… thunlp/openprompt — OpenPrompt is a prompt learning framework designed to adapt large language models to downstream natural language… getgrav/grav — Grav is a flat-file content management system that eliminates the need for a traditional database by storing site… sindresorhus/awesome — This project is a community-maintained directory that serves as a comprehensive index of software tools, frameworks,…