sentiment-analyzer-api

Note

API that's used to analyze blog content given a link to the blog or text content using BERT model from HuggingFace (Max limit is 512 token i.e. 2500 characters)

Sentiment Analysis API

This API checks the sentiment (like positive or negative) of a webpage or some text you provide.

Setup Guide

Step 1: Create a Virtual Environment

A virtual environment keeps your project’s dependencies separate from other Python projects on your system.

1. Open your terminal or command prompt.

2. Run the following command to create a virtual environment:

   python -m venv venv

   This will create a folder named venv in your project directory.

Step 2: Activate the Virtual Environment

Once the virtual environment is created, you need to activate it.

• On Windows:

  venv\Scripts\activate

• On macOS/Linux:

  source venv/bin/activate

You’ll know it’s activated if you see (venv) at the beginning of your terminal prompt.

Step 3: Install Requirements

With the virtual environment activated, install the necessary packages.

1. Run the following command to install the packages:

   pip install -r requirements.txt

This will install the requirement packages and libraries.

Step 4: Install Troch

pip install torch

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How to Use

You can send requests to the following endpoints:

1. Analyze a Link (/l)

What it Does: Checks the sentiment of a webpage by its URL.

How to Use: Add the link to the URL as a query parameter.

Request Example:

GET /l?link=https://example.com

Response Example:

{
  "sentiment": "positive"
}

2. Analyze Text Content (/c)

What it Does: Checks the sentiment of some text you provide.

How to Use: Add the content to the URL as a query parameter.

Request Example:

GET /c?content=This+is+awesome!

Response Example:

{
  "sentiment": "positive"
}

Results

Possible Errors

• If you forget to include link or content, you’ll get an error saying the request is invalid.

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