The Development of a Temporal Information Dictionary for Social Media Analytics

Alivelu Manga Mukkamala, Roman Beck

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review


Dictionaries have been used to analyse text even before the emergence of social media and the use of dictionaries for sentiment analysis there. While dictionaries have been used to understand the tonality of text, so far it has not been possible to automatically detect if the tonality refers to the present, past, or future. In this research, we develop a dictionary containing time-indicating words in a wordlist (T-wordlist). To test how the dictionary performs, we apply our T-wordlist on different disaster related social media datasets. Subsequently we will validate the wordlist and results by a manual content analysis. So far, in this research-in-progress, we were able to develop a first dictionary and will also provide some initial insight into the performance of our wordlist.
Original languageEnglish
Title of host publicationInternational Conference on Information Systems (ICIS)
PublisherAssociation for Information System
Publication date2017
Publication statusPublished - 2017


Dive into the research topics of 'The Development of a Temporal Information Dictionary for Social Media Analytics'. Together they form a unique fingerprint.

Cite this