ContextGem: Effortless LLM extraction from documents
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Updated
Jun 6, 2026 - Python
ContextGem: Effortless LLM extraction from documents
Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
A foundational library for Semantic Hypergraphs
Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.
中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .
🎯 哔哩哔哩(bilibili)评论区数据可视化分析软件-- up主可用于指导自己的题材选择,明确自己的粉丝群体
cntext is a Python library for social science text analysis, offering word frequency, sentiment, word embeddings, and semantic projection to measure constructs like attitudes and psychological states from Chinese text.
Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)
🗣️ Tool to generate adversarial text examples and test machine learning models against them
A Python library to parse MediaWiki WikiText
Textpipe: clean and extract metadata from text
Text analysis with networks.
Interpretable data visualizations for understanding how texts differ at the word level
Text vectorization tool to outperform TFIDF for classification tasks
This case study shows how to create a model for text analysis and classification and deploy it as a web service in Azure cloud in order to automatically classify support tickets. This project is a proof of concept made by Microsoft (Commercial Software Engineering team) in collaboration with Endava http://endava.com/en
A neural network intent parser
DarkGPT Chat Explorer is an interactive web application that allows users to engage in conversations with various GPT (Generative Pre-trained Transformer) models in real-time. This repository contains the source code for the application.
[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.
A simple text reuse detection CLI tool.
Stanford NLP group's shared Python tools.
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