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  2. Social Mentions
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Gensim

Gensim is a Python library for topic modelling, document indexing and similarity retrieval with large corpora.

Gensim Reviews and details

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  • Gensim Landing page
    Landing page //
    2023-01-23

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Videos

Word2Vec with Gensim - Python

Bhargav Srinivasa Desikan - Topic Modelling (and more) with NLP framework Gensim

How to Generate Custom Word Vectors in Gensim (Named Entity Recognition for DH 07)

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Gensim and what they use it for.
  • 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. 🤝. - Source: dev.to / over 1 year ago
  • 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. Source: almost 2 years ago
  • 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;. - Source: dev.to / about 2 years ago
  • [Research] Text summarization using Python, that can run on Android devices?
    TextRank will work without any problems. Https://radimrehurek.com/gensim/. Source: over 2 years ago
  • 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. - Source: dev.to / over 2 years ago
  • How to build a search engine with word embeddings
    We will be using gensim to load our Google News pre-trained word vectors. Find the code for this here. - Source: dev.to / over 2 years ago
  • Ideal Text Analytics Data Structure -- One Document at a time, or one Row at a Time?
    Gensim is a library for topic modelling in Python. https://radimrehurek.com/gensim/ There's an R version of it, but it's not actively maintained (last commit was 5 months ago). Source: about 3 years ago
  • Any books for unsupervised learning?
    Https://radimrehurek.com/gensim/ - probably the best docs and definately the best library on LDA that I've seen. Source: about 3 years ago
  • Building a full-text search engine in 150 lines of Python code
    Neat! One library I love to use in this space is https://radimrehurek.com/gensim/ It is quite mature and can handle a good amount of data well! - Source: Hacker News / about 3 years ago

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This is an informative page about Gensim. You can review and discuss the product here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.