2023, Computational Intelligence Applications for Text and Sentiment Data AnalysisMounika Marreddy, Radhika Mamidi Review article The evolution of sentiment analysis—A review of research topics, venues, and top cited papers Abstract Sentiment analysis is one of the fastest growing research areas in com...
Sentiment analysis is one of the fastest growing research areas in computer science, making it challenging to keep track of all the activities in the area. We present a computer-assisted literature review, where we utilize both text mining and qualitative coding, and analyze 6,996 papers from ...
BLP-2023 Task 2: Sentiment AnalysisMd. Arid Hasan 1 , Firoj Alam 2 , Anika Anjum 3 , Shudipta Das 3 , Af i yat Anjum 31 SE+AI Research Lab, University of New Brunswick, Fredericton, Canada2 Qatar Computing Research Institute, Doha, Qatar3 Daffodil International University, Dhaka, Banglad...
An analysis of 2023 studies performed by researchers from various countries and available in the Web of Science database has determined that social network microblogs were most often selected for research by keywords consisting of hashtags followed by the words “floods”, “storms” and the names ...
Sentiment analysis comes under the umbrella of Natural Language Processing, click here to read about the best and free resources to get started with NLP. Sentiment analysis is like a gateway to AI based text analysis. For any company or data scientist looking to extract meaning out of an ...
Our research integrates an extensive range of linguistic features, such as syntactic dependencies and part-of-speech patterns, into the ABSA framework. This integration substantially enhances the model’s ability to capture the nuances of language, leading to improved sentiment analysis accuracy. ...
Multimodal sentiment analysis (MSA) aims to use a variety of sensors to obtain and process information to predict the intensity and polarity of human emotions. The main challenges faced by current multi-modal sentiment analysis include: how the model ext
By 2025, it is estimated that sentiment analysis will be worth $3.8 billion [2], due to its many practical applications in business and politics. As a result, it has become a very active research field in recent years [3]. Initially, the majority of sentiment analysis research related to...
1490 papers with code • 42 benchmarks • 104 datasets Sentiment Analysis is the task of classifying the polarity of a given text. For instance, a text-based tweet can be categorized into either "positive", "negative", or "neutral". Given the text and accompanying labels, a model can...
Bridging the Gap for Test-Time Multimodal Sentiment Analysis Multimodal sentiment analysis (MSA) is an emerging research topic that aims to understand and recognize human sentiment or emotions through multiple modalities. However, in real-world dynamic scenarios, the distribution of target data is ...