Sentiment-Analyzer

models

This is the Final Year Project based on Machine Learning Concepts. This project was developed to analyze the sentiments of a given statement.

How to download and setup Sentiment-Analyzer

Open terminal and run command

git clone https://github.com/Jatin-P-Jain/Sentiment-Analyzer.git

git clone is used to create a copy or clone of Sentiment-Analyzer repositories. You pass git clone a repository URL.
it supports a few different network protocols and corresponding URL formats.

Also you may download zip file with Sentiment-Analyzer https://github.com/Jatin-P-Jain/Sentiment-Analyzer/archive/master.zip

Or simply clone Sentiment-Analyzer with SSH

[email protected]:Jatin-P-Jain/Sentiment-Analyzer.git

If you have some problems with Sentiment-Analyzer

You may open issue on Sentiment-Analyzer support forum (system) here: https://github.com/Jatin-P-Jain/Sentiment-Analyzer/issues

Similar to Sentiment-Analyzer repositories

Here you may see Sentiment-Analyzer alternatives and analogs

django Awesome-CoreML-Models ardent laravel-model-caching Coolie acts_as_api plank vue-mc vectiler models spacy-models jsonmodels dynamic-training-bench laravel-model-cleanup sourced django-behaviors chainer-fast-neuralstyle-models NestedTypes gama hydro-serving felicity reobject tango vue-example Pytorch-Model-Zoo models osprey ImageRecognizer-Android COLLADAViewer2 Torch-Models