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Promptbook: Run AI apps in plain human language across multiple models and platforms
- ai
- llm
- prompt
- template
- language-model
- chatgpt
- autogpt
- machine-learning
- natural-language-processing
- nlp
- openai
- o3
- o3-mini
- deepseek
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dates for humans
Parse partial JSON generated by LLM
recognizers-text-number provides robust recognition and resolution of numbers expressed in multiple languages.
recognizers-text provides base classes for robust recognition and resolution of text entities.
JavaScript implementation of Japanese morphological analyzer
modest natural language processing
The pluggable linting tool for natural language.
A module for node.js and the browser that takes in text and returns text that is stripped of stopwords. Has pre-defined stopword lists for 62 languages and also takes lists with custom stopwords as input.
split {japanese, english} text into sentences.
recognizers-text-suite provides robust recognition and resolution of numbers, units, date/time, and more; expressed in multiple languages.
recognizers-text-number-with-unit provides robust recognition and resolution of numbers with units expressed in multiple languages.
recognizers-text provides robust recognition and resolution of date/time expressed in multiple languages.
recognizers-text-sequence provides robust recognition and resolution of series entities like phone numbers, URLs, and e-mail and IP addresses.
Check the text is ends with period mark.
recognizers-text-choice provides recognition of Boolean (yes/no) answers expressed in multiple languages, as well as base classes to support lists of alternative choices.
Natural language processing.
International address parsing/normalization at C speed
Straightforward fuzzy matching, information retrieval and NLP building blocks for JavaScript.
- bloom filter
- canberra
- caverphone
- chebyshev
- cologne
- cosine
- clustering
- daitch-mokotoff
- dice
- fingerprint
- fuzzy
- hamming
- k-means
- jaccard
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AFINN-based sentiment analysis for Node.js