| Popis: |
Twitter micro-blog is producing a massive amount of data. Here, conversation spreads rapidly among people having same interests and gets exchanged at an amazing speed. People share their experiences and opinions openly in Twitter on various topics such as relations, professional work, daily activities, health issues, social issues, food activities. So aligning, reasoning and forecasting the event impact have become the utterly important topics in the related research community. In this way, Twitter platform provides a new pathway for text-related knowledge insights. We conducted a content analysis of two locations’ (Arizona and London) Twitter data during day timings to identify people’s eating habit and their related discussions on Twitter. According to people’s eating habits, we try to identify the eating-related potentials using n-gram analysis, especially for pizza. We have collected 3214-weekend tweets which are collected in 13.33 h. We have evaluated the result using the n-gram analysis to identify positive, negative and neutral sentiments related to pizza food. In the reported result, we evaluated the use of micro-blogging message content as an indicator of opening new eating-related businesses in a particular geographical region. |
