Abstract
It is common for a celebrity, brand, or movie to become a reference in the domain and to be vastly cited as an example of a highly reputable entity. Popmeter is a search/browsing application to visualize the reputation of an entity and its corresponding sentiment connections (in hate-it or love-it manner). Popmeter is supported by a sentiment graph populated by named-entities and sentiment words. The sentiment graph is constructed by a reputation analysis procedure that models the sentiment of each sentence where the entity is mentioned. This analysis leverages on a sentiment lexicon that includes general sentiment words that characterize the general sentiment towards the targeted named-entity.
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Peleja, F. (2015). PopMeter: Linked-Entities in a Sentiment Graph. In: Hanbury, A., Kazai, G., Rauber, A., Fuhr, N. (eds) Advances in Information Retrieval. ECIR 2015. Lecture Notes in Computer Science, vol 9022. Springer, Cham. https://doi.org/10.1007/978-3-319-16354-3_85
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DOI: https://doi.org/10.1007/978-3-319-16354-3_85
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