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Bernhard Pfahringer
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Publications
- 2022
- [j37]Felipe Bravo-Marquez, Arun Khanchandani, Bernhard Pfahringer:
Incremental Word Vectors for Time-Evolving Sentiment Lexicon Induction. Cogn. Comput. 14(1): 425-441 (2022) - 2021
- [c128]Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer:
PolyLM: Learning about Polysemy through Language Modeling. EACL 2021: 563-574 - [i23]Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer:
PolyLM: Learning about Polysemy through Language Modeling. CoRR abs/2101.10448 (2021) - 2019
- [j27]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer, Saif M. Mohammad:
AffectiveTweets: a Weka Package for Analyzing Affect in Tweets. J. Mach. Learn. Res. 20: 92:1-92:6 (2019) - [c108]Alan Ansell, Felipe Bravo-Marquez, Bernhard Pfahringer:
An ELMo-inspired approach to SemDeep-5's Word-in-Context task. SemDeep@IJCAI 2019: 21-25 - 2018
- [j24]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
Transferring sentiment knowledge between words and tweets. Web Intell. 16(4): 203-220 (2018) - 2016
- [j20]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
Building a Twitter opinion lexicon from automatically-annotated tweets. Knowl. Based Syst. 108: 65-78 (2016) - [c96]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
Annotate-Sample-Average (ASA): A New Distant Supervision Approach for Twitter Sentiment Analysis. ECAI 2016: 498-506 - [c93]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
From Opinion Lexicons to Sentiment Classification of Tweets and Vice Versa: A Transfer Learning Approach. WI 2016: 145-152 - [c92]Felipe Bravo-Marquez, Eibe Frank, Saif M. Mohammad, Bernhard Pfahringer:
Determining Word-Emotion Associations from Tweets by Multi-label Classification. WI 2016: 536-539 - 2015
- [c90]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
Positive, Negative, or Neutral: Learning an Expanded Opinion Lexicon from Emoticon-Annotated Tweets. IJCAI 2015: 1229-1235 - [c86]Felipe Bravo-Marquez, Eibe Frank, Bernhard Pfahringer:
From Unlabelled Tweets to Twitter-specific Opinion Words. SIGIR 2015: 743-746
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