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Feeling is Understanding: From Affective to Semantic Spaces.

, and . IWCS, page 162-172. The Association for Computer Linguistics, (2015)

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To Chain or Not to Chain? A Case from Energy Sector., , , and . EMCIS, volume 341 of Lecture Notes in Business Information Processing, page 31-37. Springer, (2018)Identity Discovery in Bitcoin Blockchain: Leveraging Transactions Metadata via Supervised Learning., , , and . ICVISP, page 30:1-30:6. ACM, (2019)Leadership Uniformity in Raft Consensus Algorithm., , , and . EMCIS, volume 402 of Lecture Notes in Business Information Processing, page 125-136. Springer, (2020)A Systematic Literature Review Toward a Blockchain Benchmarking Framework., , , and . IEEE Access, (2022)SemSim: Resources for Normalized Semantic Similarity Computation Using Lexical Networks., and . LREC, page 3499-3504. European Language Resources Association (ELRA), (2012)Crossmodal Network-Based Distributional Semantic Models., and . LREC, European Language Resources Association (ELRA), (2016)Valence, arousal and dominance estimation for English, German, Greek, Portuguese and Spanish lexica using semantic models., , , and . INTERSPEECH, page 1527-1531. ISCA, (2015)Mixture of Topic-Based Distributional Semantic and Affective Models., , , and . ICSC, page 203-210. IEEE Computer Society, (2018)Audio-based Distributional Semantic Models for Music Auto-tagging and Similarity Measurement., , , , and . CoRR, (2016)Audio salient event detection and summarization using audio and text modalities., , , and . EUSIPCO, page 2311-2315. IEEE, (2015)