Sentiment analysis, which aims to identify the positive or negative tone of a given text, has seen a surge in interest over the past two decades, making it one of the most studied areas of study in the fields of Natural Language Processing and Information Extraction. Due to the ambiguous nature of sarcasm, however, sarcasm detection is an essential part of sentiment analysis. The task becomes exceedingly challenging when applied to a language with a more intricate morphology and a lack of available resources, such as Telugu.

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[1] Ravi Teja Gedela, Ujwala Baruah, Badal Soni, "Telugu Conversational Dataset for Sarcasm Detection", IEEE Dataport, 2023. [Online]. Available: http://dx.doi.org/10.21227/s0yz-en95. Accessed: Feb. 25, 2024.
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doi = {10.21227/s0yz-en95},
url = {http://dx.doi.org/10.21227/s0yz-en95},
author = {Ravi Teja Gedela; Ujwala Baruah; Badal Soni },
publisher = {IEEE Dataport},
title = {Telugu Conversational Dataset for Sarcasm Detection},
year = {2023} }
TY - DATA
T1 - Telugu Conversational Dataset for Sarcasm Detection
AU - Ravi Teja Gedela; Ujwala Baruah; Badal Soni
PY - 2023
PB - IEEE Dataport
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Ravi Teja Gedela, Ujwala Baruah, Badal Soni. (2023). Telugu Conversational Dataset for Sarcasm Detection. IEEE Dataport. http://dx.doi.org/10.21227/s0yz-en95
Ravi Teja Gedela, Ujwala Baruah, Badal Soni, 2023. Telugu Conversational Dataset for Sarcasm Detection. Available at: http://dx.doi.org/10.21227/s0yz-en95.
Ravi Teja Gedela, Ujwala Baruah, Badal Soni. (2023). "Telugu Conversational Dataset for Sarcasm Detection." Web.
1. Ravi Teja Gedela, Ujwala Baruah, Badal Soni. Telugu Conversational Dataset for Sarcasm Detection [Internet]. IEEE Dataport; 2023. Available from : http://dx.doi.org/10.21227/s0yz-en95
Ravi Teja Gedela, Ujwala Baruah, Badal Soni. "Telugu Conversational Dataset for Sarcasm Detection." doi: 10.21227/s0yz-en95