https://github.com/cocoa-ai/sentimentcoremldemo

😃 iOS11 demo application for sentiment polarity analysis.
https://github.com/cocoa-ai/sentimentcoremldemo

coreml coreml-models ios machine-learning nlp sentiment-analysis sentiment-polarity swift swift4

Last synced: 6 days ago
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😃 iOS11 demo application for sentiment polarity analysis.

• Host: GitHub
• URL: https://github.com/cocoa-ai/sentimentcoremldemo
• Owner: cocoa-ai
• License: mit
• Created: 2017-07-13T15:55:00.000Z (over 7 years ago)
• Default Branch: master
• Last Pushed: 2018-10-07T18:53:06.000Z (about 6 years ago)
• Last Synced: 2024-08-03T17:10:03.670Z (3 months ago)
• Topics: coreml, coreml-models, ios, machine-learning, nlp, sentiment-analysis, sentiment-polarity, swift, swift4
• Language: Swift
• Homepage: https://github.com/cocoa-ai
• Size: 1.43 MB
• Stars: 120
• Watchers: 7
• Forks: 21
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Awesome Lists containing this project

README

        
# Sentiment Polarity CoreML Demo

A Demo application using `CoreML` framework for sentiment polarity analysis.







## Model

[CoreML model](https://github.com/cocoa-ai/SentimentCoreMLDemo/blob/master/SentimentPolarity/Resources/SentimentPolarity.mlmodel)

was converted from [Scikit-learn Pipeline](http://scikit-learn.org/stable/modules/generated/sklearn.pipeline.Pipeline.html)

using [coremltools](https://pypi.python.org/pypi/coremltools) python package.

The model is based on [LinearSVC](http://scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html) classifier and is able to distinguish between

positive and negative sentences with **best CV score = 0.801013024602**. It was

trained using [Epinions.com](http://epinions.com) dataset with reviews of

products and services. Accuracy can be improved by using

[TfidfVectorizer](http://scikit-learn.org/stable/modules/generated/sklearn.feature_extraction.text.TfidfVectorizer.html) for feature extraction, but it's not supported by [coremltools](https://pypi.python.org/pypi/coremltools)

at the moment.

## Requirements

- Xcode 9

- iOS 11

## Installation

```sh

git clone https://github.com/cocoa-ai/SentimentCoreMLDemo.git

cd SentimentCoreMLDemo

open SentimentPolarity.xcodeproj/

```

Build the project and run it on a simulator or a device with iOS 11.

## Conversion

```sh

cd Convert

python sentiment.py

```

## Author

Vadym Markov, [email protected]

## Credits

- Dataset with [Epinions.com](http://epinions.com) reviews was taken from

[HW3: Sentiment Analysis ](http://boston.lti.cs.cmu.edu/classes/95-865-K/HW/HW3/)

## References

- [scikit-learn](http://scikit-learn.org/stable/)

- [Apple Machine Learning](https://developer.apple.com/machine-learning/)

- [CoreML Framework](https://developer.apple.com/documentation/coreml)

- [coremltools](https://pypi.python.org/pypi/coremltools)