stripnet
gensim
| stripnet | gensim | |
|---|---|---|
| 1 | 18 | |
| 85 | 15,256 | |
| - | 0.9% | |
| 0.0 | 7.5 | |
| almost 2 years ago | 10 days ago | |
| HTML | Python | |
| Apache License 2.0 | GNU Lesser General Public License v3.0 only |
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stripnet
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⚡ STriP Net: Semantic Similarity of Scientific Papers Network
🚀 Github: https://github.com/stephenleo/stripnet
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. 🤝
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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.
What are some alternatives?
feed-visualizer - Feed Visualizer creates interactive visualizations by clustering RSS/Atom feed items based on semantic similarity. Feed Visualizer also attempts to automatically predict the labels for each cluster. This application will create a "semantic summary" of a website's contents by scanning its RSS/Atom feed, allowing for easy discovery and navigation to topics of interest. Feed Visualizer creates interactive visualizations in the form of static HTML and JS files, which may be edited and sent to a server.
BERTopic - Leveraging BERT and c-TF-IDF to create easily interpretable topics.
sa-uta11-results - 📈 [CHI 2023] Results of the statistical analysis applied to the UTA11 guide.
scikit-learn - scikit-learn: machine learning in Python
datalabel - datalabel is a UI-based data editing tool that makes it easy to create labeled text data in a dataframe. With datalabel, you can quickly and effortlessly edit your data without having to write any code. Its intuitive interface makes it ideal for both experienced data professionals and those new to data editing.
MLflow - Open source platform for the machine learning lifecycle
Amber-Heard_Disinformation_Operations_Bots - Amber Heard Social Network Analysis of Disinformation/Influence Operations, Bots, & Crime Across-Platforms. - Twitter, Reddit, YouTube, Instagram, Change.org, Facebook, Tumblr, TikTok. To create Foundations to Help victims of bots, cyberabuse, domestic abuse, coercive control, crime, & disinformation operations. We want to Save Lives & help partners create systems to help online - including specialized and accurate rescue, quality custom, data analysis, social network analysis, forensics, research, and public safety technologies - with focus on the victim primarily & her environment.
tensorflow - An Open Source Machine Learning Framework for Everyone
Keras - Deep Learning for humans
flair - A very simple framework for state-of-the-art Natural Language Processing (NLP)
fuzzywuzzy - Fuzzy String Matching in Python
GuidedLDA - semi supervised guided topic model with custom guidedLDA