ContextGem: Effortless LLM extraction from documents
收集户晨风的所有内容
A playground of highly experimental prompts, Jinja2 templates & scripts for machine intelligence models from OpenAI, Anthropic, DeepSeek, Meta, Mistral, Google, xAI & others. Author: Alex Bilzerian (2022-present).
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 .
Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, …
Natural language detection library for Rust. Try demo online: https://whatlang.org/
A Modern C++ Data Sciences Toolkit
A foundational library for Semantic Hypergraphs
Fake News Detection in Python
Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.
Resources for learning about Text Mining and Natural Language Processing
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 .
Repository with all what is necessary for sentiment analysis and related areas
Jekyll-based static site for The Programming Historian
PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
Detect non-inclusive language in your source code.
🎯 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)
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