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PROJECTS
ISNA Dataset
The dataset which is introduced is the collection of ISNA news which is provided for use in many neural Language processing and machine learning researches. Actually it is a new version of data which includes 1,015 news in different topics and categories (i.e., Culture and Art, Economy, Politics, Science, Social and Sports). The mentioned dataset has some features such as raw news data, different sections of news, the analyzed sentiment of news, part of speech tagging and entity recognition and many other useful information. Creation of ISNA dataset consists of data gathering, data cleaning and data processing steps. JSON files could be downloaded from link below.
Flicker Image Gathering Software
Flicker image gathering software is based on Flicker API which enable users to download Flicker images for free. The software is in Python programming language. The software enable us to download images considering their geographical information (latitude and longitude) of the target area. Moreover, users can set some tags to download images which have the selected tags.
Emotional Map Creation Code
The dataset which is introduced is the collection of ISNA news which is provided for use in many neural Language processing and machine learning researches. Actually it is a new version of data which includes 1,015 news in different topics and categories (i.e., Culture and Art, Economy, Politics, Science, Social and Sports). The mentioned dataset has some features such as raw news data, different sections of news, the analyzed sentiment of news, part of speech tagging and entity recognition and many other useful information. Creation of ISNA dataset consists of data gathering, data cleaning and data processing steps. JSON files could be downloaded from link below.
Hand Disease Diagnosis (Commercial product)
The main purpose of this project was to help orthopedic physicians to categorize patients
hand CT scan images into two categories of healthy or at the risk of disease. In this project an attempt is made to measure some hand parameters like ulnar variance, radial inclination, scapholunate angle, capitolunate angle and etc. by the use of image processing and machine learning techniques and report the results to the physicians
Automatic Persian Number Plate Recognition (Commercial product)
The main purpose of this project was to help orthopedic physicians to categorize patients
hand CT scan images into two categories of healthy or at the risk of disease. In this project an attempt is made to measure some hand parameters like ulnar variance, radial inclination, scapholunate angle, capitolunate angle and etc. by the use of image processing and machine learning techniques and report the results to the physicians
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