2021/11/18 by Bharathi Raja Chakravarthi, Ruba Priyadharshini, Chakravarthi, Bharathi Raja +19
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Natural Language Processing Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling
paper · pdf · doi:10.48550/arxiv.2111.09811
openalex publication_date 2021/11/18 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
We present the results of the Dravidian-CodeMix shared task held at FIRE\n2021, a track on sentiment analysis for Dravidian Languages in Code-Mixed Text.\nWe describe the task, its organization, and the submitted systems. This shared\ntask is the continuation of last year's Dravidian-CodeMix shared task held at\nFIRE 2020. This year's tasks included code-mixing at the intra-token and\ninter-token levels. Additionally, apart from Tamil and Malayalam, Kannada was\nalso introduced. We received 22 systems for Tamil-English, 15 systems for\nMalayalam-English, and 15 for Kannada-English. The top system for\nTamil-English, Malayalam-English and Kannada-English scored weighted average\nF1-score of 0.711, 0.804, and 0.630, respectively. In summary, the quality and\nquantity of the submission show that there is great interest in Dravidian\nlanguages in code-mixed setting and state of the art in this domain still needs\nmore improvement.\n