Being unsupervised, topic modeling is useful for analyzing unstructured text data that has no labels. Popular topic model applications include: Annotation—Automatically label unlabeled data eDiscovery—Efficient document searches without for key topics Content recommendation—Automatically identify and match topic preferences SEO—Improve search engine analysis of content Summarization—Automatically summarize social media or article content Chatbots—Improve chatbot dialog through topic identification Similarity analysis—Efficiently compare text content to find similarity based on topics