kristapratico / pycon2022-azure-sdk-textanalytics

Sentiment analysis and opinion mining with the Azure Text Analytics client library

Sentiment Analysis and Opinion Mining with the Azure Text Analytics Client Library

This demo showcases the sentiment analysis and opinion mining feature of the Azure Cognitive Language service using the Text Analyics client library for Python.

Features

Sentiment analysis and opinion mining are features offered by Azure Cognitive Service for Language, a collection of machine learning and AI algorithms in the cloud for developing intelligent applications that involve written language. These features help you find out what people think of your brand or topic by mining text for clues about positive or negative sentiment, and can associate them with specific aspects of the text.

See more about sentiment analysis and opinion mining in the product documentation.

Getting Started

Prerequisites

• Python 3.6 later
• An Azure subscription and a Language resource to run this demo.

Installation

This demo requires the azure-ai-textanalytics client library and flask.

pip install azure-ai-textanalytics flask

Quickstart

1. git clone https://github.com/Azure-Samples/pycon2022-azure-sdk-textanalytics.git
2. cd pycon2022-azure-sdk-textanalytics

Demo

1. Set your Language endpoint and API key values to the following environment variables:

   AZURE_LANGUAGE_ENDPOINT

   AZURE_LANGUAGE_KEY

2. Run python app.py and open the browser on http://127.0.0.1:5000/.

Resources

Discover more with the Azure Text Analytics client library:

PyPi | Conda | Samples