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Gensim VS EasyNLP

Compare Gensim VS EasyNLP and see what are their differences

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Gensim logo Gensim

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

EasyNLP logo EasyNLP

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit - GitHub - alibaba/EasyNLP: EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
  • Gensim Landing page
    Landing page //
    2023-01-23
  • EasyNLP Landing page
    Landing page //
    2023-08-02

Gensim videos

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Word2Vec with Gensim - Python

More videos:

  • Review - Bhargav Srinivasa Desikan - Topic Modelling (and more) with NLP framework Gensim
  • Tutorial - How to Generate Custom Word Vectors in Gensim (Named Entity Recognition for DH 07)

EasyNLP videos

No EasyNLP videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Gensim and EasyNLP)

Gensim

EasyNLP

Natural Language Processing
75 75%
Natural Language Processing
25% 25
Spreadsheets
100 100%
Spreadsheets
0% 0
NLP And Text Analytics
70 70%
NLP And Text Analytics
30% 30
Utilities
0 0%
Utilities
100% 100

User comments

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Social recommendations and mentions

Based on our record, Gensim seems to be more popular. It has been mentiond 9 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.

Gensim mentions (9)

  • 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: over 1 year 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 / almost 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: about 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
View more

EasyNLP mentions (0)

We have not tracked any mentions of EasyNLP yet. Tracking of EasyNLP recommendations started around Jul 2022.

What are some alternatives?

When comparing Gensim and EasyNLP, you can also consider the following products

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

rasa NLU - A set of high level APIs for building your own language parser

FastText - Library for efficient text classification and representation learning

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

Frontegg - Elegant user management, tailor-made for B2B SaaS

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.

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