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REST Journal on Data Analytics and Artificial Intelligence
With the growing popularity of online shopping, it has become essential to have reliable systems for evaluating products. This project creates a system that uses advanced natural language processing (NLP) techniques like Sentiment Analysis, Opinion Mining, and Aspect-Based Sentiment Analysis (ABSA) to provide accurate scores for products.
Charlotte Nirmalani Gunawardena +2 more
+10 more sources
With the growing popularity of online shopping, it has become essential to have reliable systems for evaluating products. This project creates a system that uses advanced natural language processing (NLP) techniques like Sentiment Analysis, Opinion Mining, and Aspect-Based Sentiment Analysis (ABSA) to provide accurate scores for products.
Charlotte Nirmalani Gunawardena +2 more
+10 more sources
2017 8th International Conference on Computing, Communication and Networking Technologies (ICCCNT), 2017
It requires sophisticated streaming of big data processing to process the billions of daily social conversations across millions of sources. Dataset needs information extraction from them and it requires contextual semantic sentiment modeling to capture the intelligence through the complexity of online social discussions.
Jing Ge +2 more
+6 more sources
It requires sophisticated streaming of big data processing to process the billions of daily social conversations across millions of sources. Dataset needs information extraction from them and it requires contextual semantic sentiment modeling to capture the intelligence through the complexity of online social discussions.
Jing Ge +2 more
+6 more sources
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
ACM Computing Surveys, 2023Sentiment analysis has come long way since it was introduced as a natural language processing task nearly 20 years ago. Sentiment analysis aims to extract the underlying attitudes and opinions toward an entity.
Ringki Das, Thoudam Doren Singh
semanticscholar +1 more source
2022
With people constantly expressing themselves on various online platforms, there are multitudes of data available that can be used in research. In most cases, these data are unstructured and can be intimidating to analyse due to the large volumes. However, techniques such as sentiment analysis can be used to analyse these data and obtain insights that ...
Larian M. Nkomo, Antonie Alm
+5 more sources
With people constantly expressing themselves on various online platforms, there are multitudes of data available that can be used in research. In most cases, these data are unstructured and can be intimidating to analyse due to the large volumes. However, techniques such as sentiment analysis can be used to analyse these data and obtain insights that ...
Larian M. Nkomo, Antonie Alm
+5 more sources
IEEE Transactions on Affective Computing, 2023
Thanks to the breakthrough of large-scale pre-trained language model (PLM) technology, prompt-based classification tasks, e.g., sentiment analysis and emotion detection, have raised increasing attention.
Rui Mao +4 more
semanticscholar +1 more source
Thanks to the breakthrough of large-scale pre-trained language model (PLM) technology, prompt-based classification tasks, e.g., sentiment analysis and emotion detection, have raised increasing attention.
Rui Mao +4 more
semanticscholar +1 more source
Sentiment Analysis and Opinion Mining
Synthesis Lectures on Human Language Technologies, 2012Sentiment analysis and opinion mining is the field of study that analyzes people's opinions, sentiments, evaluations, attitudes, and emotions from written language.
Lei Zhang, B. Liu
semanticscholar +1 more source
An Aspect of Sentiment Analysis: Sentimental Noun with Dual Sentimental Words Analysis
2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC), 2017With the increasing number of digital data and new technologies, business trends and model are becoming more dependent on computer science for making business decision and operation. By extracting user opinion for decision making and market analysis sentiment analysis is one of fast growing and reliable tool nowadays.
Prosanta Kumar Chaki +3 more
openaire +1 more source
Proceedings of the 2nd International Conference on Web Intelligence, Mining and Semantics, 2012
In this paper we address the Sentiment Analysis problem from the end user's perspective. An end user might desire an automated at-a-glance presentation of the main points made in a single review or how opinion changes time to time over multiple documents.
Amitava Das +2 more
openaire +2 more sources
In this paper we address the Sentiment Analysis problem from the end user's perspective. An end user might desire an automated at-a-glance presentation of the main points made in a single review or how opinion changes time to time over multiple documents.
Amitava Das +2 more
openaire +2 more sources
Proceedings of the international conference on Knowledge capture - K-CAP '03, 2003
This paper illustrates a sentiment analysis approach to extract sentiments associated with polarities of positive or negative for specific subjects from a document, instead of classifying the whole document into positive or negative.The essential issues in sentiment analysis are to identify how sentiments are expressed in texts and whether the ...
Tetsuya Nasukawa, Jeonghee Yi
openaire +1 more source
This paper illustrates a sentiment analysis approach to extract sentiments associated with polarities of positive or negative for specific subjects from a document, instead of classifying the whole document into positive or negative.The essential issues in sentiment analysis are to identify how sentiments are expressed in texts and whether the ...
Tetsuya Nasukawa, Jeonghee Yi
openaire +1 more source