Intelligently splitting text in messages posted on social media website to be more readable and understandable for user

Abstract

A method, system and computer program product for improving readability and understandability in messages posted on a social media website. The messages posted on a social media website, such as the user's social networking feed, are scanned. The scanned messages are analyzed for topics, meaning and/or tenses using natural language processing. The text in the scanned messages are split into message segments based on topic, meaning, tenses, punctuation, custom identifiers, hashtags and/or @ symbols. These message segments are then grouped based on relatedness of the topics, meaning and/or tenses. The message segments are ordered in each group of message segments, such as based on timestamps. The ordered message segments are then displayed to the user. By displaying these message segments in separate groupings in a logical order, the user will be able to view the messages posted on the user's social media website in a more readable and understandable manner.

Dependencies are inferred from the claim text.