gensim
fuzzywuzzy
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| gensim | fuzzywuzzy | |
|---|---|---|
| 18 | 20 | |
| 15,236 | 9,067 | |
| 1.2% | 0.0% | |
| 7.5 | 0.0 | |
| about 19 hours ago | about 1 year ago | |
| Python | Python | |
| GNU Lesser General Public License v3.0 only | GNU General Public License v2.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
gensim
- Aggregating news from different sources
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Understanding How Dynamic node2vec Works on Streaming Data
This is our optimization problem. Now, we hope that you have an idea of what our goal is. Luckily for us, this is already implemented in a Python module called gensim. Yes, these guys are brilliant in natural language processing and we will make use of it. ๐ค
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Topic modeling --- allow multiple topics per statement
Try LDA as implemented in gemsin https://github.com/RaRe-Technologies/gensim
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Is it home bias or is data wrangling for machine learning in python much less intuitive and much more burdensome than in R?
Standout python NLP libraries include Spacy and Gensim, as well as pre-trained model availability in Hugginface. These libraries have widespread use in and support from industry and it shows. Spacy has best-in-class methods for pre-processing text for further applications. Gensim helps you manage your corpus of documents, and contains a lot of different tools for solving a common industry task, topic modeling.
- sentence transformer vector dimensionality reduction to 1
- Where to start for recommendation systems
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GET STARTED WITH TOPIC MODELLING USING GENSIM IN NLP
Here we have to install the gensim library in a jupyter notebook to be able to use it in our project, consider the code below;
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Show HN: I built a site that summarizes articles and PDFs using NLP
Nice work! I wonder if you're going the same challenges that gensim had for being generic in summarization.
For context:
> Despite its general-sounding name, the module will not satisfy the majority of use cases in production and is likely to waste people's time.
https://github.com/RaRe-Technologies/gensim/wiki/Migrating-f...
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[Research] Text summarization using Python, that can run on Android devices?
TextRank will work without any problems. https://radimrehurek.com/gensim/
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Topic modelling with Gensim and SpaCy on startup news
For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use.
fuzzywuzzy
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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.
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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 ่ฒดๆนใใใใพใงใซๅพใฆใใๅใๅญๅใซ็บๆฎใใฆใใ ใใใญใ) 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.
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Fuzzy search
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy
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import fuzzywuzzy
fuzzywuzzy is actually just called the thefuzz now.
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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
- Test if two strings are similar?
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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.
- [D] Matching Records that "don't Exactly Match"
- Text Detection
- FuzzyWuzzy: Fuzzy String Matching in Python
What are some alternatives?
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
jellyfish - ๐ชผ a python library for doing approximate and phonetic matching of strings.
scikit-learn - scikit-learn: machine learning in Python
thefuzz - Fuzzy String Matching in Python
MLflow - Open source platform for the machine learning lifecycle
Levenshtein - The Levenshtein Python C extension module contains functions for fast computation of Levenshtein distance and string similarity
tensorflow - An Open Source Machine Learning Framework for Everyone
ftfy - Fixes mojibake and other glitches in Unicode text, after the fact.
Keras - Deep Learning for humans
TextDistance - ๐ Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external libs usage.
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
chardet - Python character encoding detector