2 citations · 2 across the 3 of their papers we have counts for
5 papers
Basic tasks of sentiment analysis
Iti Chaturvedi, Soujanya Poria, Erik Cambria
Subjectivity detection is the task of identifying objective and subjective sentences. Objective sentences are those which do not exhibit any sentiment. So, it is desired for a sent…
Benchmarking Multimodal Sentiment Analysis
Erik Cambria, Devamanyu Hazarika, Soujanya Poria +2
We propose a framework for multimodal sentiment analysis and emotion recognition using convolutional neural network-based feature extraction from text and visual modalities. We obt…
Tensor Fusion Network for Multimodal Sentiment Analysis
Amir Zadeh, Minghai Chen, Soujanya Poria +2
Multimodal sentiment analysis is an increasingly popular research area, which extends the conventional language-based definition of sentiment analysis to a multimodal setup where o…
Developing a concept-level knowledge base for sentiment analysis in Singlish
Rajiv Bajpai, Soujanya Poria, Danyun Ho +1
In this paper, we present Singlish sentiment lexicon, a concept-level knowledge base for sentiment analysis that associates multiword expressions to a set of emotion labels and a p…
Tracing Linguistic Relations in Winning and Losing Sides of Explicit Opposing Groups
Ceyda Sanli, Anupam Mondal, Erik Cambria
Linguistic relations in oral conversations present how opinions are constructed and developed in a restricted time. The relations bond ideas, arguments, thoughts, and feelings, re-…