Implementation of various Fuzzy Search Algorithms for String Matching
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Updated
Nov 20, 2019 - Jupyter Notebook
Implementation of various Fuzzy Search Algorithms for String Matching
This project aims to reduce string redundancy by utilizing some of the string similarity concepts of NLP .
Применение FuzzyWuzzy для нечёткого сравнения и сопоставления наименований продукции
Performs OCR on a list of images using Tesseract and performs fuzzy string matching with a given list of strings.
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Scrapes hazardous waste data from a website and PDF file. Cleans and analyzes the data. Prepares the data for mapping.
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Scans invoices and retrieves most significant data, and a few more utilities.
Matches similar text data and provides match-percentage.
Question pair similarity
Clustering of strings using Fuzzy String matching and KMeans Algorithm.
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Flask Web Application, which generates Person's Probabilistic match in percentile.
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A chatbot to use as a basic universal translator. If you can't say it, show it!
This project was created when I and my team participated in a competition organized by Shopee.
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