chatgpt-sentiment-analysis-in-excel
franc
chatgpt-sentiment-analysis-in-excel | franc | |
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2 | 1 | |
11 | 4,152 | |
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4.0 | 4.8 | |
6 months ago | 6 months ago | |
JavaScript | JavaScript | |
MIT License | MIT License |
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chatgpt-sentiment-analysis-in-excel
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How to analyze unstructured customer review dataset?
I came across this the other day. Might be helpful as it does sentiment analysis in Excel. Combined with OpenAI analysis it might get you to a suitable solution - https://github.com/analyticsinmotion/chatgpt-sentiment-analysis-in-excel
- Sentiment Analysis in Excel Using ChatGPT
franc
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Reasons Why JavaScript is Awesome
Franc is a JavaScript package that allows you to detect the language of a given text. I have included a small program to illustrate how it works. You can provide the program with a paragraph of text, and it will use the franc library to try to detect its language. Note that the functionality doesn't work great when provided with a shorter text.
What are some alternatives?
efficient-language-detector-js - Fast and accurate natural language detection. Detector written in Javascript. Nito-ELD, ELD.
natural - general natural language facilities for node
Goopt - 🔍 Search Engine for a Procedural Simulation of the Web with GPT-3.
nlp.js - An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
SheetJS js-xlsx - 📗 SheetJS Spreadsheet Data Toolkit -- New home https://git.sheetjs.com/SheetJS/sheetjs
retext - natural language processor powered by plugins part of the @unifiedjs collective
generator-gopkg - 🐙 Yeoman Generator for Golang Packages.
machine-translator - Translate words using a statistical model
js-xlsx - :green_book: SheetJS Community Edition -- Spreadsheet Data Toolkit [Moved to: https://github.com/SheetJS/sheetjs]
leven - Measure the difference between two strings with the fastest JS implementation of the Levenshtein distance algorithm
Italian-Music-Trends - Italian Music Trend from 01/01/2022 to 28/03/2022
text2token - break down a corpus of text into lines and tokens