Discover yardstick17/AspectBasedSentimentAnalysis Open Source project

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Python
Created about 7 years ago
Updated over 4 years ago

yardstick17

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Aspect Based Sentiment Analysis is a special type of sentiment analysis. In an explicit aspect, opinion is expressed on a target(opinion target), this aspect-polarity extraction is known as ABSA.

image_text_reader

The module extracts text from image using the tesseract-OCR engine. Generally, text present in the images are blur or are of uneven sizes. The image is pre-processed for better comprehension by OCR. This module first makes bounding box for text in images and then normalizes it to 300 dpi, suitable for OCR engine to read.

Python

148

DDIExtraction

Detecting drug-drug interaction (DDI) has become a vital part of public health safety. This project is an implementation of NLP based approach for such relation extraction between entities.

Python

ConnectingDots

1. Perceptron: The very basic entity in Machine Learning. It's training and weights update in code. 2. Image Aesthetic Assessment: Determining the aesthetic content of an image. The network defined use Spatial Pyramid Pooling. 3. Image Classification: Alexnet architecture in Keras for image classification. Find more here

Python

extract_phrase

Frequent Phrase Extraction : This module extracts the most common occurring phrases in the corpus. It is based on the NLP rule based extraction. All the corpus processing done is out of the main memory.

Python

menu_parser

tool to read images, images formatted like standard restaurant-menu

Python

chillies

Python

yardstick17.github.io

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yardstick17/AspectBasedSentimentAnalysis

yardstick17

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