M.A. Thesis:

Healthy nutritional status assessment using analysis related tweets and solutions identify influential people

By increasing the impact of web-based social networks in the society and growing demand of people, applying the capabilities of social networks has been taken into account by specialists in order to improve health benchmark. This improves the relations between health care providers and patients without paying attention to their economic, social and cultural conditions. In this paper, as a descriptive study, 47,728 tweets from 28,113 unique users in the time period from 26-11-2016 to 2014-12-24 were received by keywords using the Twitter API instantly. we introduce, analyze and extract the applied practical benchmarks from Twitter social media data by data mining. To explore the titles, Latent Dirichlet Allocation (LDA) is applied. This research studies the effective factors on healthy nutrition and also an approach to identify the effective people in this field. The obtained results show that the user group of effective people has the highest influence on message transferring and encouraging people to have healthy diet; therefore, it is important to create effective online resources for healthy diet, avoid people's misguidance and help to obtain reliable resources from social networks.

Keywords: Healthy Nutrition, Effective People, Diet, Social Networks, twitter