One can use any of the topic models above to get topics. However, to direct the topics to contain food related information, specialized topic modeling algorithms are available.
However, one simple way to direct the topics to food related things is :
- Filter tweets by a limited set of food related keywords (food, meal, dinner, lunch, cook…) and Find topics from the filtered tweets.
- To be less restrictive with the initial filtering set, the filtering can be made more general by taking prominent words in the topics obtained and refiltering to get a new food related twitter corpus that is more general. Now, topics can be found on this new corpus.
This could be an iterative process on an ongoing basis.