sorenrood / OSAL

Ocular Sentiment Analysis Library

Ocular Sentiment Analysis Library (OSAL)

Description

Computes the general sentiment from images of text. (newspapers, book pages, etc)

Data and Analysis

• Data Spreadsheet

• Article Explaining Findings

Setup

• Install tesseract via pre-built binary package
• Set up azure cognitive services resource and enable text analytics API.
• Configure variables for your machine on lines 14-17 in main.py

General Program Flow

1. Run program by calling python main.py data/path_to_input_image.jpg
2. Tesseract-OCR Convert Image to Text (10-15 seconds on my machine)
3. Clean Response (< 1 second)
4. Azure Text Sentiment Analysis (< 3 seconds)
5. Repeat

Labeled Graph