unicode-data

Here are 12 public repositories matching this topic...

roozbehp / unicode-data

Temporary holding place for my suggestions for future version of Unicode data files. Report bugs to https://www.unicode.org/reporting.html. For Script Exemplars, report bugs by email.

unicode unicode-data indic-scripts

Updated Nov 25, 2023
Python

hackerb9 / ugrep

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find unicode characters based on their names

emoji emoji-searcher unicode emoji-unicode unicode-characters grep emoji-picker unicode-data unicode-character-database

Updated Jul 16, 2024
Python

mlodewijck / pyunormalize

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Unicode normalization forms (NFC, NFD, NFKC, NFKD). A pure-Python implementation independent of Python’s core Unicode database, supporting version 17.0 of the Unicode Standard.

unicode normalizer hangul normalize unicode-data normalization unicode-normalization unicode-support unicode-tools hangul-jamo

Updated Sep 28, 2025
Python

mlodewijck / unicode_charnames

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Look up Unicode character name or code point label and search in Unicode character names. This library supports version 16.0 of the Unicode Standard.

python unicode unicode-characters characters unicode-data unicode-character-database

Updated Sep 17, 2024
Python

dahlia / unihan-json

Sponsor

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JSON data files parsed from the Unicode Han Database (Unihan)

kanji chinese-characters hanzi unicode-data cjk-characters unihan hanja unihan-database

Updated May 26, 2019
Python

dahlia / shinjitai-table

Sponsor

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The table between shinjitai (新字体) and kyūjitai (舊字體).

kanji chinese-characters hanzi unicode-data kyujitai shinjitai

Updated Apr 3, 2018
Python

leonidessaguisagjr / unicodeutil

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Python (currently tested against Python 2.7, Python 3.6, Python 3.7, Python 3.8, Python 3.9, Python 3.10, PyPy 2.7 and PyPy 3.7) classes and functions for working with Unicode® data. Based on v13.0.0 of the Unicode® Character Database (UCD).

unicode unicode-characters hangul unicode-data unicode-character-database unicode-support jamo unicode-casefold casefold

Updated May 22, 2023
Python

Rachakondaganesh / Using-NLP-Online-and-Retail-Order-Review-Project

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analyzed customer reviews from online and retail orders. Performed sentiment analysis, keyword extraction, and topic modeling to identify trends, satisfaction drivers, and pain points. Used Python (NLTK, spaCy) and visualization tools to present actionable insights for improving customer experience and product strategy.