Rajalakshmi Sivanaiah
Orcid: 0000-0003-4658-5465
According to our database1,
Rajalakshmi Sivanaiah
authored at least 24 papers
between 2018 and 2024.
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Bibliography
2024
Data Technol. Appl., 2024
TECHSSN1 at SemEval-2024 Task 10: Emotion Classification in Hindi-English Code-Mixed Dialogue using Transformer-based Models.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
TECHSSN at SemEval-2024 Task 10: LSTM-based Approach for Emotion Detection in Multilingual Code-Mixed Conversations.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
SSN_ARMM at SemEval-2024 Task 10: Emotion Detection in Multilingual Code-Mixed Conversations using LinearSVC and TF-IDF.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024
Self-harm Detection from Texts: A Comparative Study Utilizing BERT, Machine Learning, and Deep Learning Approaches.
Proceedings of the Computational Intelligence in Data Science, 2024
CLEF 2024 JOKER Task 2: Using BERT and Random Forest Classifier for Humor Classification According to Genre and Technique.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024
2023
Factoring textual reviews into user preferences in multi-criteria based content boosted hybrid filtering (MCCBHF) recommendation system.
AI Commun., 2023
TechSSN at SemEval-2023 Task 12: Monolingual Sentiment Classification in Hausa Tweets.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023
2022
Contextual emotion detection on text using gaussian process and tree based classifiers.
Intell. Data Anal., 2022
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
SSN_ARMM@ LT-EDI -ACL2022: Hope Speech Detection for Equality, Diversity, and Inclusion Using ALBERT model.
Proceedings of the Second Workshop on Language Technology for Equality, 2022
SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models.
Proceedings of the Second Workshop on Language Technology for Equality, 2022
SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text.
Proceedings of the Second Workshop on Language Technology for Equality, 2022
2021
TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021
2020
Content boosted hybrid filtering for solving pessimistic user problem in recommendation systems.
Intell. Data Anal., 2020
Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020
2019
TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019
2018
SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018
SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection.
Proceedings of The 12th International Workshop on Semantic Evaluation, 2018