The 4CAT Capture and Analysis Toolkit provides modular data capture & analysis for a variety of social media platforms.

textanalysis 开源项目推荐(145 个)
textanalysis 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 145 个仓库🍵 Create and administrate validation tests for automated content analysis tools.
👚 Speedy Word Embedding Association Test & Extras using R
Inspect LLM's logprobs and perplexity over a piece of text, or compare two LLMs (like a git diff)
The KeywordFinder is a project that arose from my vocational school thesis and is being further developed here open source. It is a tool to support text analysis, especially the analysis of tender texts.
The objective of this assignment is to extract textual data articles from the URL and perform text analysis to compute variables.
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Text Analysis in R
Create interactive text parallels 📃 📃 📃
This repository contains my grad-school project for a text analysis app.
Data science related book pdf
a MATLAB script for generating cloud of keywords of the Journal of Physical Oceanography
The objective of this assignment is to extract textual data articles from the given URL and perform text analysis to compute variables that are explained below.
该项目在 GitHub 上没有填写描述
Text analysis of all 163000+ theoretical high energy physics papers on arXiv.
a PyPI package for analyzing customer reviews using aspect-based opinions mining and sentiment analysis
NLP - Identify authors from their writings
Word clouds in any shape, from survey text to maps, for Stata. Interactive offline pages and PNG/SVG pictures; shapes, masks, shapefiles and colour by variable.
Sentiment Analysis and WordClouds in Song Lyrics using python
Text analysis on Bilibili danmaku (i.e. real-time comments)
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/textanalysis。
- 该话题在 GitHub 上共有 145 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 647 Star,覆盖 9 种主要语言,数据更新于 2026-11-13。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。