Search Results for author:
Found 4 papers, 2 papers with code
Pars-ABSA: a Manually Annotated Aspect-based Sentiment Analysis Benchmark on Farsi Product Reviews
Due to the increased availability of online reviews, sentiment analysis witnessed a thriving interest from researchers.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
IUST at SemEval-2020 Task 9: Sentiment Analysis for Code-Mixed Social Media Text using Deep Neural Networks and Linear Baselines
Our group, with the name of IUST(username: TAHA), participated at the SemEval-2020 shared task 9 on Sentiment Analysis for Code-Mixed Social Media Text, and we have attempted to develop a system to predict the sentiment of a given code-mixed tweet.
Applying Transformers and Aspect-based Sentiment Analysis approaches on Sarcasm Detection
Sarcasm is a type of figurative language broadly adopted in social media and daily conversations.
Ranked #1 on
Sarcasm Detection
on FigLang 2020 Reddit Dataset
(using extra training data)
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+2
Pars-ABSA: an Aspect-based Sentiment Analysis dataset for Persian
Due to the increased availability of online reviews, sentiment analysis had been witnessed a booming interest from the researchers.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
+1
