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NLTK VS MXNet

Compare NLTK VS MXNet and see what are their differences

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NLTK logo NLTK

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

MXNet logo MXNet

MXNet is a deep learning framework.
  • NLTK Landing page
    Landing page //
    2023-01-25
  • MXNet Landing page
    Landing page //
    2022-07-25

NLTK videos

+ Add

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]

MXNet videos

+ Add

Apache MXNet 2.0: Bridging Deep Learning and Machine Learning

More videos:

  • Review - MXNet Introduction: MXNet Vancouver Meetup
  • Review - Extending Apache MXNet for new features and performance

Category Popularity

0-100% (relative to NLTK and MXNet)

NLTK

MXNet

Spreadsheets
100 100%
Spreadsheets
0% 0
Data Science And Machine Learning
53 53%
Data Science And Machine Learning
47% 47
Natural Language Processing
100 100%
Natural Language Processing
0% 0
Machine Learning
0 0%
Machine Learning
100% 100

User comments

Share your experience with using NLTK and MXNet. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, NLTK seems to be more popular. It has been mentiond 3 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.

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

MXNet mentions (0)

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

What are some alternatives?

When comparing NLTK and MXNet, you can also consider the following products

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

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.

Amazon Comprehend - Discover insights and relationships in text

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

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

Kira - Gain visibility into contract repositories, accelerate and improve the accuracy of contract review, mitigate risk of errors, win new business, and improve the value you provide to your clients.

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