Emotions-Classification VS Movie-Review-Sentiment-Analysis-ML

Compare Emotions-Classification vs Movie-Review-Sentiment-Analysis-ML and see what are their differences.

Movie-Review-Sentiment-Analysis-ML

Complete EDA, training, building model & deployed live project of Sentiment analysis - Movie Review Classification (NLP) (by shreyas-jk)
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Emotions-Classification Movie-Review-Sentiment-Analysis-ML
1 2
1 2
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2.1 0.0
over 3 years ago almost 3 years ago
Jupyter Notebook Jupyter Notebook
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Emotions-Classification

Posts with mentions or reviews of Emotions-Classification. We have used some of these posts to build our list of alternatives and similar projects.
  • Emotion Classification
    1 project | dev.to | 3 Feb 2021
    See Code on GitHub, do give it a 🌟 star: https://github.com/Siddhant-K-code/Emotions-Classification

Movie-Review-Sentiment-Analysis-ML

Posts with mentions or reviews of Movie-Review-Sentiment-Analysis-ML. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Emotions-Classification and Movie-Review-Sentiment-Analysis-ML you can also consider the following projects:

face-emotion-recognition - Efficient face emotion recognition in photos and videos

Whatsapp-Chart-Analysis-WebApp - WhatsApp Chat Analyser uses your Whatsapp data and analysis it and extracts insides from your cart history.

MachineLearningWithPython - Get started with Machine Learning with Python - An introduction with Python programming examples

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

tutorials - AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

nlphose - Enables creation of complex NLP pipelines in seconds, for processing static files or streaming text, using a set of simple command line tools. Perform multiple operation on text like NER, Sentiment Analysis, Chunking, Language Identification, Q&A, 0-shot Classification and more by executing a single command in the terminal. Can be used as a low code or no code Natural Language Processing solution. Also works with Kubernetes and PySpark !

labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱