Leveraging Dynamic Meta Embedding for Sentiment Analysis and Detection of Homophobic/Transphobic Content in Code-mixed Dravidian Languages.

@inproceedings{hegde-2022-leveraging, author = {Asha Hegde and Hosahalli Lakshmaiah Shashirekha}, editor = {Kripabandhu Ghosh and Thomas Mandl and Prasenjit Majumder and Mandar Mitra}, title = {{Leveraging Dynamic Meta Embedding for Sentiment Analysis and Detection of Homophobic/Transphobic Content in Code-mixed Dravidian Languages}}, booktitle = {{Working Notes of FIRE 2022 - Forum for Information Retrieval Evaluation, Kolkata, India, December 9-13, 2022}}, series = {CEUR Workshop Proceedings}, volume = {3395}, pages = {147--156}, publisher = {CEUR-WS.org}, year = {2022}, url = {https://ceur-ws.org/Vol-3395/T2-8.pdf} }