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Gensim VS NLTK

Compare Gensim VS NLTK 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.

NLTK logo NLTK

NLTK is a platform for building Python programs to work with human language data.
  • Gensim Landing page
    Landing page //
    2023-01-23
  • NLTK Landing page
    Landing page //
    2023-01-25

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)

NLTK videos

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29 Python NLTK Text Classification Sentiment Analysis movie reviews

More videos:

  • Review - Tutorial 24: Sentiment Analysis of Amazon Reviews using NLTK VADER MODULE PYTHON with [SOURCE CODE]

Category Popularity

0-100% (relative to Gensim and NLTK)

Gensim

NLTK

Natural Language Processing
29 29%
Natural Language Processing
71% 71
Spreadsheets
27 27%
Spreadsheets
73% 73
NLP And Text Analytics
25 25%
NLP And Text Analytics
75% 75
Data Science And Machine Learning
39 39%
Data Science And Machine Learning
61% 61

User comments

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Social recommendations and mentions

Based on our record, Gensim should be more popular than NLTK. 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

NLTK mentions (3)

  • Just created an app to help me practice my Polish grammar. The passages are from classical literature available in the public domain. If you would like to try it, the link is in the comments.
    To give you some further inspiration, you might want to check out the NLTK (Natural Language Toolkit - https://www.nltk.org/ ). It is a huge collection of tools for language data processing in general. Source: 12 months ago
  • Which not so well known Python packages do you like to use on a regular basis and why?
    I work mostly in the NLP space, so other libraries I like are spaCy, nltk, and pynlp lib. Source: over 1 year ago
  • How to make/program an AI? Is it even possible?
    Learn some Python and play around with existing AI libraries. Go through things like nltk.org and some freecodecamp tutorials to get some hands-on knowledge. Follow this sub and watch the kinds of projects people are creating. Source: over 2 years ago

What are some alternatives?

When comparing Gensim and NLTK, 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

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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