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Sakaya Milton Rajendram
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Journal Articles
- 2022
- [j2]Angel Deborah S
, Sakaya Milton Rajendram, T. T. Mirnalinee
, Rajalakshmi Sivanaiah
:
Contextual emotion detection on text using gaussian process and tree based classifiers. Intell. Data Anal. 26(1): 119-132 (2022) - 2021
- [j1]Angel Deborah S
, T. T. Mirnalinee
, Sakaya Milton Rajendram:
Emotion Analysis on Text Using Multiple Kernel Gaussian... Neural Process. Lett. 53(2): 1187-1203 (2021)
Conference and Workshop Papers
- 2022
- [c13]Sarika Esackimuthu, Shruthi Hariprasad, Rajalakshmi Sivanaiah
, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG3 @LT-EDI-ACL2022-Depression Detection System from Social Media Text using Transformer Models. LT-EDI 2022: 196-199 - [c12]Karun Anantharaman, Angel Suseelan, Rajalakshmi Sivanaiah
, Saritha Madhavan, Sakaya Milton Rajendram:
SSN_MLRG1@LT-EDI-ACL2022: Multi-Class Classification using BERT models for Detecting Depression Signs from Social Media Text. LT-EDI 2022: 296-300 - [c11]Rajalakshmi Sivanaiah
, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TechSSN at SemEval-2022 Task 5: Multimedia Automatic Misogyny Identification using Deep Learning Models. SemEval@NAACL 2022: 571-574 - [c10]Ramdhanush V, Rajalakshmi Sivanaiah
, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TechSSN at SemEval-2022 Task 6: Intended Sarcasm Detection using Transformer Models. SemEval@NAACL 2022: 851-855 - [c9]Karun Anantharaman, Divyasri K, Jayannthan Pt, Angel Deborah S, Rajalakshmi Sivanaiah
, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG1 at SemEval-2022 Task 10: Structured Sentiment Analysis using 2-layer BiLSTM. SemEval@NAACL 2022: 1324-1328 - 2021
- [c8]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee, Abrit Pal Singh, Aviansh Gupta, Ayush Nanda:
TECHSSN at SemEval-2021 Task 7: Humor and Offense detection and classification using ColBERT embeddings. SemEval@ACL/IJCNLP 2021: 1185-1189 - 2020
- [c7]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TECHSSN at SemEval-2020 Task 12: Offensive Language Detection Using BERT Embeddings. SemEval@COLING 2020: 2190-2196 - 2019
- [c6]Angel Deborah Suseelan, Rajalakshmi Sivanaiah, Logesh B, Harshini S, Geetika Bandlamudi, Dyaneswaran S, Sakaya Milton Rajendram, T. T. Mirnalinee:
TECHSSN at SemEval-2019 Task 6: Identifying and Categorizing Offensive Language in Tweets using Deep Neural Networks. SemEval@NAACL-HLT 2019: 753-758 - [c5]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN-SPARKS at SemEval-2019 Task 9: Mining Suggestions from Online Reviews using Deep Learning Techniques on Augmented Data. SemEval@NAACL-HLT 2019: 1237-1241 - 2018
- [c4]Angel Deborah S, Rajalakshmi Sivanaiah, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN MLRG1 at SemEval-2018 Task 1: Emotion and Sentiment Intensity Detection Using Rule Based Feature Selection. SemEval@NAACL-HLT 2018: 324-328 - [c3]Rajalakshmi Sivanaiah, Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN MLRG1 at SemEval-2018 Task 3: Irony Detection in English Tweets Using MultiLayer Perceptron. SemEval@NAACL-HLT 2018: 633-637 - 2017
- [c2]Angel Deborah S, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG1 at SemEval-2017 Task 4: Sentiment Analysis in Twitter Using Multi-Kernel Gaussian Process Classifier. SemEval@ACL 2017: 709-712 - [c1]Angel Deborah S
, Sakaya Milton Rajendram, T. T. Mirnalinee:
SSN_MLRG1 at SemEval-2017 Task 5: Fine-Grained Sentiment Analysis Using Multiple Kernel Gaussian Process Regression Model. SemEval@ACL 2017: 823-826
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