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Gensim VS TextBlob

Compare Gensim VS TextBlob 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.

TextBlob logo TextBlob

Natural Language Processing (NLP)
  • Gensim Landing page
    Landing page //
    2023-01-23
  • TextBlob Landing page
    Landing page //
    2020-03-01

Gensim videos

+ Add

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)

TextBlob videos

+ Add

Natural Language Processing (Part 4): Sentiment Analysis with TextBlob in Python

More videos:

  • Tutorial - How to Calculate Sentiment Using TextBlob - Part 5 - Python Yelp Sentiment Analysis
  • Review - A Quick Guide To Sentiment Analysis | Sentiment Analysis In Python Using Textblob | Edureka

Category Popularity

0-100% (relative to Gensim and TextBlob)

Gensim

TextBlob

Natural Language Processing
41 41%
Natural Language Processing
59% 59
Spreadsheets
40 40%
Spreadsheets
60% 60
NLP And Text Analytics
36 36%
NLP And Text Analytics
64% 64
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, 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

TextBlob mentions (0)

We have not tracked any mentions of TextBlob yet. Tracking of TextBlob recommendations started around Mar 2021.

What are some alternatives?

When comparing Gensim and TextBlob, 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

Amazon Comprehend - Discover insights and relationships in text

FastText - Library for efficient text classification and representation learning

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

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

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