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Word Frequency Analyzer

By @Divyansh_Agarwal

  • 3 Devlogs
  • 3 Total hours

A word frequency analyzer is a text analysis tool that counts and ranks how often each word appears in a document, helping users identify overused terms, discover key themes, and optimize content for readability or SEO. By revealing repetitive language patterns and "crutch words" that weaken prose, this tool enables writers, editors, and students to diversify their vocabulary and improve clarity. This data-driven approach enhances professional communication, aids in academic research by highlighting significant concepts, and supports content creators in producing more engaging, varied, and effective text.

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@Divyansh_Agarwal on Word Frequency Analyzer

I made a word frequency analyzer which basically analyzes any text pasted into it. I personally faced the problem of analysing text for research papers and project but this tool helps overcome that and additionally it is totally free working on python + html + css + javascript.

Try project → See source code →
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@Divyansh_Agarwal on Word Frequency Analyzer

30m 52s logged

#2
Made the frontend of the word frequency analyzer with a bit of help with AI for some debugging and styling. Connected the backend to the frontend to run text analysis using python and deployed everything on vercel.

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@Divyansh_Agarwal on Word Frequency Analyzer

1h 26m 43s logged

#1
I am working on a word frequency analyzer which i basically a web based software that helps in the analysis of any line or a paragraph by analysing all it’s contents. It has 2 parts - backend and frontend.

BACKEND–
Made using Python and connected to frontend using vite.

FRONTEND–
Made using json, html, react, tailwind css, with a neo-brutalism style frontend.

The screenshot attached below is a demo sample output of the backend of the project.

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