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NLTK VS FuzzyWuzzy

Compare NLTK VS FuzzyWuzzy and see what are their differences

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NLTK logo NLTK

NLTK is a platform for building Python programs to work with human language data.

FuzzyWuzzy logo FuzzyWuzzy

FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
  • NLTK Landing page
    Landing page //
    2023-01-25
  • FuzzyWuzzy Landing page
    Landing page //
    2023-10-20

NLTK videos

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29 Python NLTK Text Classification Sentiment Analysis movie reviews

More videos:

  • Review - Tutorial 24: Sentiment Analysis of Amazon Reviews using NLTK VADER MODULE PYTHON with [SOURCE CODE]

FuzzyWuzzy videos

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Category Popularity

0-100% (relative to NLTK and FuzzyWuzzy)

NLTK

FuzzyWuzzy

Spreadsheets
37 37%
Spreadsheets
63% 63
Natural Language Processing
40 40%
Natural Language Processing
60% 60
NLP And Text Analytics
38 38%
NLP And Text Analytics
62% 62
Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0

User comments

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Social recommendations and mentions

Based on our record, FuzzyWuzzy should be more popular than NLTK. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NLTK mentions (3)

  • Just created an app to help me practice my Polish grammar. The passages are from classical literature available in the public domain. If you would like to try it, the link is in the comments.
    To give you some further inspiration, you might want to check out the NLTK (Natural Language Toolkit - https://www.nltk.org/ ). It is a huge collection of tools for language data processing in general. Source: 12 months ago
  • Which not so well known Python packages do you like to use on a regular basis and why?
    I work mostly in the NLP space, so other libraries I like are spaCy, nltk, and pynlp lib. Source: over 1 year ago
  • How to make/program an AI? Is it even possible?
    Learn some Python and play around with existing AI libraries. Go through things like nltk.org and some freecodecamp tutorials to get some hands-on knowledge. Follow this sub and watch the kinds of projects people are creating. Source: over 2 years ago

FuzzyWuzzy mentions (11)

  • Need help solving a subtitles problem. The logic seems complex
    Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
  • Thanks to this sub, we now have an Anki deck for Persona 5 Royal. Spreadsheet with Jp and Eng side by side too.
    Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
  • Fuzzy search
    It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: almost 2 years ago
  • I made a bot that stops muck chains, here are the phrases that he looks for to flag the comment as a muck comment. Are there any muck forms I forgot about?
    You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
  • How would you approach this
    To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: over 2 years ago
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What are some alternatives?

When comparing NLTK and FuzzyWuzzy, you can also consider the following products

spaCy - spaCy is a library for advanced natural language processing in Python and Cython.

Amazon Comprehend - Discover insights and relationships in text

Google Cloud Natural Language API - Natural language API using Google machine learning

Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

OpenNLP - Apache OpenNLP is a machine learning based toolkit for the processing of natural language text.

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