TRENDING TOPIC EXTRACTION FROM SOCIAL MEDIA

摘要

Real-time topic analysis for social listening is performed to help users and organizations in discovering and understanding trending topics in varying degrees of granularity. A density-based sampling method is employed to reduce data input. A lightweight NLP method is utilized for topic extraction which provides an efficient mechanism for handling dynamically-changing content. In embodiments, the social analytics system further helps users understand the topics by ranking topics by relevance, labeling topic categories, and grouping semantically-similar topics.

主权项

1. A non-transitory computer storage medium storing computer-useable instructions that, when used by one or more computing devices, cause the one or more computing devices to perform operations comprising:
retrieving data, via a social engine, from one or more social media streams, the one or more social media streams sampled in accordance with a user selection received via a user device; utilizing natural language processing, at a trending topic tool, to identify candidate topics of the data; ranking the candidate topics, at the trending topic tool, with a relevance score to determine trending topics; classifying, at the trending topic tool, the trending topics into categories; and grouping semantically-similar topics, at the trending topic tool, wherein the semantically-similar topics provide a user, via the user device, with a real-time understanding of social media, in accordance with the user selection.