Extract city and country mentions from Text like GeoText without regex, but FlashText, a Aho-Corasick implementation.
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Updated
Mar 30, 2026 - Python
Extract city and country mentions from Text like GeoText without regex, but FlashText, a Aho-Corasick implementation.
This is a prototype of a multi-lingual suite for named-entity recognition in Python. ➡️ The project has moved to: https://gitlab.opencode.de/bmbf/datenlabor/openredact
Simple geoparsing using a gazetteer based on Wikidata and FlashText search
End-to-end web scraping and NLP to extract financial news for sentiment analysis, crucial business events, gauges market sentiment and keyword extraction, using Amazon as a case study. This tool identifies key business events and market sentiment, providing valuable insights into corporate dynamics
The fastest FlashText library for Python
Flashtext implementation in Rust
Neural Search
qlamda: txt2ques generation model
Performant and powerful keyword matching, extraction and annotation for the DOM
Natural language understanding library for chatbots with intent recognition and entity extraction.
flashtext-chinese-nlp-data-augmentation
Extract Keywords from sentence or Replace keywords in sentences. @ https://github.com/vi3k6i5/flashtext
Natural Language Processing using FlashText Library
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