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Sentiment Spreading: An Epidemic Model for Lexicon-Based Sentiment Analysis on Twitter.

, , , , , and . AI*IA, volume 10640 of Lecture Notes in Computer Science, page 114-127. Springer, (2017)

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A Spatial Approach to Predict Performance of Conversational Search Systems., , , , and . IIR, volume 3448 of CEUR Workshop Proceedings, page 41-46. CEUR-WS.org, (2023)High-Quality Prediction of Tourist Movements using Temporal Trajectories in Graphs., , , , and . ASONAM, page 348-352. IEEE, (2020)MUSETS: Diversity-Aware Web Query Suggestions for Shortening User Sessions., , , , and . ISMIS, volume 9384 of Lecture Notes in Computer Science, page 237-247. Springer, (2015)Exploring the Meaning behind Twitter Hashtags through Clustering., , and . BIS (Workshops), volume 127 of Lecture Notes in Business Information Processing, page 231-242. Springer, (2012)Sentiment-enhanced multidimensional analysis of online social networks: Perception of the mediterranean refugees crisis., , , , , , and . ASONAM, page 1270-1277. IEEE Computer Society, (2016)The 2nd Workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS)., , , and . CIKM, page 5173-5174. ACM, (2022)LearNext: Learning to Predict Tourists Movements., , , and . IIR, volume 1127 of CEUR Workshop Proceedings, page 75-79. CEUR-WS.org, (2014)Gamification in Information Retrieval: State of the Art, Challenges and Opportunities., and . IIR, volume 1404 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Topical Enrichment of Conversational Search Utterances: Participation of the HPCLab-CNR Team in CAsT 2020., , , , and . TREC, volume 1266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)Finding Context through Utterance Dependencies in Search Conversations - Participation of the CNR Team in CAsT 2021., , , , and . TREC, volume 500-335 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2021)