|Project Description: ||In social media, information is present in large amount. Extracting information from social media gives us several usage in various fields. In the field of biomedical and healthcare, extracting information from social media is providing number of benefits such as knowledge about the latest technology, updates of current situation in medical field etc.
Twitter is one of the social media which allows the user post tweets of limited number of characters and share the tweet to their followers. Twitter allows application developer to access the tweets for their purpose.
In the implemented system, tweets are collected and sentiment analysis is performed on them. Based on the results of sentimental analysis few suggestions can be provided to the user. The implemented system can perform sentiment analysis on data available for patient and consumer opinions on various treatments and drugs. These results can provide up-to-date information for the hospitals, pharmaceutical industry, and medical staff, on the effectiveness or ineffectiveness of the treatment. In this way, the implemented system can help in improving the healthcare of diabetic patients.