Amit Kushwaha

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.

AspectBasedSentimentAnalysis. 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.

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.

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

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.

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

yardstick17.github.io. HTML