Why Are They Excited? Identifying and Explaining Spikes in Blog Mood Levels

We describe a method for discovering irregularities in temporal mood patterns appearing in a large corpus of blog posts, and labeling them with a natural language explanation. Simple techniques based on comparing corpus frequencies, coupled with large quantities of data, are shown to be effective for identifying the events underlying changes in global moods.

• Type: Conference
• Year: 2006
• Where: EACL
• Authors: Krisztian Balog, Gilad Mishne, Maarten de Rijke
• Keywords: EACL 2006, Large Corpus, Natural Language Explanation, Natural Language Processing, Temporal Mood Patterns