Sentiment analysis on Healthcare Tweets

Abstract

In today’s world variety of posting on social media offer huge information about the health issues, remedies,

food and medication. Twitter is an online social networking service in which users can post their opinions

about various topics and also cooperate with each other with messages known as “tweets”. Tweets are very

helpful in sharing the health related issues, medicines, hospitals information. Twitter helps the people to

know about the disease symptoms, services and details about the hospital before they go for consultation.

Sentiment analysis is a metric commonly used to investigate the positive or negative opinion within

these messages. Sentiment analysis methods can be used in Twitter health care research. The analysis will

help the users to better understand the alternative available. Sentiment analysis can also facilitate the

healthcare industry to use reliable data for their growth by taking necessary measures. Sentiment

analysis applies software to analyze the patient’s tweets regarding their healthcare experiences

regarding medicine, doctor, hospitals..It helps users as well as many healthcare organizations to

understand their customers opinion and to take necessary measure to rectify the gaps. Ultimately,

as more attention is given to such opinion analysis the health standard in the society will improve.

Main aim of this paper is to build an algorithm that can accurately classify Twitter messages as positive or

negative.