https://github.com/teddyoweh/sentiment-analysis-api

The Sentiment Analysis Api was created using python flask module,it allows users to parse a text or sentence throught the (?text) arguement, then view the sentiment analysis of that sentence. It can be implementable into a web application.
https://github.com/teddyoweh/sentiment-analysis-api

api data-science flask machine-learning nlp-machine-learning php python sentiment-analysis

Last synced: about 1 month ago
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The Sentiment Analysis Api was created using python flask module,it allows users to parse a text or sentence throught the (?text) arguement, then view the sentiment analysis of that sentence. It can be implementable into a web application.

• Host: GitHub
• URL: https://github.com/teddyoweh/sentiment-analysis-api
• Owner: teddyoweh
• License: gpl-3.0
• Created: 2022-04-02T05:33:21.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-06-22T03:26:28.000Z (over 2 years ago)
• Last Synced: 2023-03-04T00:49:54.325Z (almost 2 years ago)
• Topics: api, data-science, flask, machine-learning, nlp-machine-learning, php, python, sentiment-analysis
• Language: Python
• Homepage: https://sentiment-analytics-api.herokuapp.com/?text=Im%20a%20developer
• Size: 268 KB
• Stars: 11
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.MD

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README

        
# Sentiment Analysis Api

**A Flask Sentiment Analysis API, with visual implementation**

The Sentiment Analysis Api was created using python flask module,it allows users to parse a text or sentence throught the (?text) arguement, then view the sentiment analysis of that sentence. It can be implementable into a web application.

* **Text** -The sentence to be analyzed.

* **Sentiment** -Possible outputs include,[ Positive, Neutral or Negative]

* **Sentiment Level** -Possible outputs include,[ P, P+, P++, NEU,  N, N+, N++]

* **Polarity** -Range [-1,1]

* **Subjectivity** -Range [-1,1]

 Sample Output-{"Polarity":0.5,"Sentiment":"Positive","Sentiment Level":"P+","Subjectivity":0.6,"Text":"I love to code"}

 

## Requirements

Python 3.8.5+, pipenv, Textblook, PHP

## Installation

First, clone this repository.

    $ git clone https://github.com/teddyoweh/Sentiment-Analysis-API

    $ cd Sentiment-Analysis-API

After, install all necessary to run:

    $ sudo apt install php

    $ pipenv install

## Implementation

Run the application:

	$ pipenv run python run.py

To the api output, access this url in your browser: 

	http://localhost:5000

 

To see your see implemenation of the Sentiment Analysis API:

    $ php -S localhost:8000

Then access this url in your browser: 

    http://localhost:8000

## API Output

![P++](images/api.png)

## API Implementation

### Postive Sentiment

![P++](images/p++.png)

### Neurtal Sentiment

![P++](images/neu.png)

### Negative Sentiment

![P++](images/n++.png)