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Showing 1-25 of 19,631 resultsfor "Index Terms":Sentiment analysis
"Index Terms":Sentiment analysis
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Recently sentiment analysis in Arabic has attracted much attention from researchers. A modest number of studies have been conducted on Arabic sentiment analysis. However, due to the vast increase in users’ comments and reviews on social media and e-commerce websites, the necessity to detect sentence-level and aspect-level sentiments has also increased. The aspect-based sentiment analysis has emerg...Show More
People's attitudes towards public events or products may change overtime, rather than staying on the same state. Understanding how sentiments change overtime is an interesting and important problem with many applications. Given a certain public event or product, a user's sentiments expressed in microblog stream can be regarded as a vector. In this paper, we define a novel problem of sentiment evol...Show More
Beneath the Tip of the Iceberg: Current Challenges and New Directions in Sentiment Analysis Research
Soujanya Poria;Devamanyu Hazarika;Navonil Majumder;Rada Mihalcea
Sentiment analysis as a field has come a long way since it was first introduced as a task nearly 20 years ago. It has widespread commercial applications in various domains like marketing, risk management, market research, and politics, to name a few. Given its saturation in specific subtasks — such as sentiment polarity classification — and datasets, there is an underlying perception that this fie...Show More
Sentiment Analysis on Turkish Social Media Shares through Lexicon Based Approach
Hamdullah Karamollaoğlu;İbrahim Alper Doğru;Murat Dörterler;Anıl Utku;Oktay Yıldız
2018 3rd International Conference on Computer Science and Engineering (UBMK)
Year: 2018 | Conference Paper |
Cited by: Papers (11)
Social media platforms provide an environment that allows users to see the shares made up to that time on a particular subject or situation. Reading and analysing millions of comments made on a given subject or situation is a costly process that takes considerable amount of time. For this reason, the development of applications that automatically perform such analyses has become a necessity nowada...Show More
Fine-grained sentiment analysis of social media with emotion sensing
Zhaoxia Wang;Chee Seng Chong;Landy Lan;Yinping Yang;Seng Beng Ho;Joo Chuan Tong
Social media is arguably the richest source of human generated text input. Opinions, feedbacks and critiques provided by internet users reflect attitudes and sentiments towards certain topics, products, or services. The sheer volume of such information makes it effectively impossible for any group of persons to read through. Thus, social media sentiment analysis has become an important area of wor...Show More
Unveiling Sentiments: Analyzing Learner's Experience Using VADER and RoBERTa Models
2024 International Conference on Advances in Data Engineering and Intelligent Computing Systems (ADICS)
Year: 2024 | Conference Paper |
Educational Institutions receive a large amount of data, which includes student review. The text-based interactions, reveal patterns in student sentiments and emotions and enhance the overall educational experience. The text analytics allows institutions to perform analysis on these feedbacks, that gives insights to the institution on student satisfaction, identifying areas of improvement, and ana...Show More
Geo-Spatial Multimedia Sentiment Analysis in Disasters
Abdullah Alfarrarjeh;Sumeet Agrawal;Seon Ho Kim;Cyrus Shahabi
2017 IEEE International Conference on Data Science and Advanced Analytics (DSAA)
Year: 2017 | Conference Paper |
Cited by: Papers (41)
Sentiment analysis of disaster-related posts in social media can contribute to the situation awareness and better understanding of the dynamics of disaster events by identifying the polarity of sentiments expressed by the public. However, Even though many sentiment analysis techniques have been developed and available, there are still limitations in reliably using sentiment analysis since there is...Show More
Improve the Accuracy of SenseComp in Thai Consumer’s Review Using Syntactic Analysis
2019 16th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
Year: 2019 | Conference Paper |
Cited by: Papers (3)
Thai sentiment analysis can be analyzed in multiple dimensions: product, price, and shipping. The scores from sentiment analysis can be considered as multi-dimensional trust score of e-vendor which affects the purchase decision of the consumer. A consumer's review that has different sentiments describing the same dimension in the sentence leads to the incorrect scoring problem in SenseComp - the m...Show More
Multilingual Sentiment Analysis for Web Text Based on Word to Word Translation
2020 9th International Congress on Advanced Applied Informatics (IIAI-AAI)
Year: 2020 | Conference Paper |
Cited by: Papers (9)
People's sentiments are known to have a large impact on changes in stock prices, products sales, and trends. Since web users generally state their opinion in various languages, it is important to develop a method of multilingual sentiment analysis for web texts. In this research, we design a multilingual sentiment analysis method based on word to word translation using a sentiment dictionary in ar...Show More
A conflict opinion recognition method based on graph neural network in Aspect-based Sentiment Analysis
Pan Li;Wenbing Chang;Shenghan Zhou;Yiyong Xiao;Chaofan Wei;Runze Zhao
2022 5th International Conference on Data Science and Information Technology (DSIT)
Year: 2022 | Conference Paper |
Cited by: Papers (2)
Aspect-based sentiment analysis is a research direction of fine-grained sentiment analysis, and is usually used in comment texts. We found that most studies ignored the conflict sentiment during analysis. However, comments with conflicting emotions are usually longer, contain more information, and can reflect the changes of users' opinions. If we can effectively recognize the conflict sentiment in...Show More
Aspect Detection and Sentiment Classification Using Deep Neural Network for Indonesian Aspect-Based Sentiment Analysis
Arfinda Ilmania;Abdurrahman;Samuel Cahyawijaya;Ayu Purwarianti
2018 International Conference on Asian Language Processing (IALP)
Year: 2018 | Conference Paper |
Cited by: Papers (25)
Sentiment analysis can categorize an overall opinion from a sentence or a document. However, there are sentences with more than one opinion in a single sentence statement. This problem is solved by aspect-based sentiment analysis. We conduct experiments on this problem using Indonesian dataset with 2-step process: aspect detection and sentiment classification. On aspect detection, we compare two d...Show More
Research on Highlight Snippets Identification Technology Based on Sentiment Analysis of Bullet Curtain
2018 IEEE 4th International Conference on Computer and Communications (ICCC)
Year: 2018 | Conference Paper |
At present, the method of extracting highlights snippets of video is restricted to image and audio analysis in sports videos. About this problem, this paper proposes a new method of using bullet curtain text as sentiment carrier for sentiment analysis, and then using its time coupling to identify the highlight snippets. Firstly, according to the particularity of bullet curtain text, a domain senti...Show More
Post Covid-19 Sentiment Analysis of Success of Online Learning: A Case Study of India
2022 9th International Conference on Computing for Sustainable Global Development (INDIACom)
Year: 2022 | Conference Paper |
Cited by: Papers (5)
Over the years, e-learning has seen a boost with the advancement in technology. The very pertinent problem of Covid-19 led to the adoption of online education in India. This study aims to understand the online education in India in terms of benefits, challenges, and strategies using sentiment analysis and the positive and negative instances faced by Indian students and teachers during the pandemic...Show More
Combining a rule-based classifier with weakly supervised learning for twitter sentiment analysis
2016 International Conference on Innovations in Science, Engineering and Technology (ICISET)
Year: 2016 | Conference Paper |
Cited by: Papers (9)
Microblog, especially Twitter, have become an integral part of our daily life, where millions of user sharing their thoughts daily because of its short length characteristics and simple manner of expression. Monitoring and analyzing sentiments from such massive amount of Twitter posts provide enormous opportunities for companies and other organizations to learn about what user think and feel about...Show More
Sentiment Analysis of Financial News
2020 12th International Conference on Computational Intelligence and Communication Networks (CICN)
Year: 2020 | Conference Paper |
Cited by: Papers (11)
Sentiment analysis is a subdiscipline covered under data mining and computational semantics. It refers to the comprehension of gathered data that is procured from sentiment rich sources like news, social media sites, reviews, and so forth. In the current era where data is becoming increasingly voluminous and yet crucial to all businesses, manual analysis of data does not remain viable in this fast...Show More
Twitter Text Mining for Sentiment Analysis on People’s Feedback about Oman Tourism
2019 4th MEC International Conference on Big Data and Smart City (ICBDSC)
Year: 2019 | Conference Paper |
Cited by: Papers (43)
Sentiment analysis plays vital role in the internet era due to extensive range of business applications and social media. Inspiration behind sentiment analysis is that it provides people`s opinion about the product, which helps to improve the product quality. It also supports to take purchase/manufacturing decisions. In this paper we apply sentiment analysis to catch people feedback about Oman tou...Show More
Aspect-Based Sentiment Analysis with Semi-Supervised Approach on Taiwan Social Distancing App User Reviews
2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)
Year: 2023 | Conference Paper |
Cited by: Papers (3)
Sentiment analysis has a critical role to reveal an opinion in a text-based form. Therefore, we exploit this analysis to discover the sentiment polarity of Taiwan Social Distancing mobile application. This paper proposes a semi-supervised scheme for annotating this mobile application's reviews. The semi-supervised scheme utilized a combination of numeric rating and lexicon-based sentiment. In addi...Show More
Sentiment analysis has become a focal point of interdisciplinary research, prompting the use of diverse methodologies and the continual emergence of programming language packages. Notably, Python and R have introduced comprehensive packages in this realm. In this study, we analyze established packages in these languages, focusing on accuracy while also considering time complexity. Across experimen...Show More
A Review of Sentiment Semantic Analysis Technology and Progress
2017 13th International Conference on Computational Intelligence and Security (CIS)
Year: 2017 | Conference Paper |
Cited by: Papers (9)
Sentiment computing brings some new application opportunities and technique challenges in artificial intelligence of the next generation, and it has become a fascinating research field. In this paper, the conception of sentiment computing with some core elements and feature vectors is defined, and some vital issues are proposed. Based on the theories mentioned above, the subjective content or obje...Show More
Comparative study of Twitter Sentiment On COVID - 19 Tweets
2021 5th International Conference on Computing Methodologies and Communication (ICCMC)
Year: 2021 | Conference Paper |
Cited by: Papers (56)
Recently, the number of tweets on COVID-19 are increasing at an unprecedented rate by including positive, negative and neutral tweets. This diversified nature of tweets has attracted the researchers to perform sentiment analysis and analyze the varied emotions of a large public towards COVID-19. The traditional sentiment analysis techniques will only find out the polarity and classify it as either...Show More
Exploring the Application of Natural Language Processing for Social Media Sentiment Analysis
2024 3rd International Conference for Innovation in Technology (INOCON)
Year: 2024 | Conference Paper |
Cited by: Papers (3)
Natural language processing (NLP) is a developing vicinity of studies that has the potential to provide state-of-the-art sentiment analysis abilities inside the realm of social media. Its software involves the collection of facts from social networks, which include Twitter or FB, after reworking these records into an established format amenable to the NLP techniques. The last aim is to make automa...Show More
An attention-based deep learning method for text sentiment analysis
2020 International Conference on Computational Science and Computational Intelligence (CSCI)
Year: 2020 | Conference Paper |
Cited by: Papers (2)
Text sentiment analysis is target-oriented, aiming to identify the opinion or attitude from a piece of natural language text toward topics or entities, whether it is negative, positive or neutral using natural language processing and computational methods. With the growth of the internet, numerous business websites have been deployed to support shopping products, booking services online as well as...Show More
Bangla Aspect-Based Sentiment Analysis Based on Corresponding Term Extraction
2021 International Conference on Information and Communication Technology for Sustainable Development (ICICT4SD)
Year: 2021 | Conference Paper |
Cited by: Papers (8)
Aspect-based sentiment analysis is a text analysis technique that extracts and separates each aspect term and identifies the sentiment polarity associated with each aspect term. Bangla is the seventh most spoken language in the world. Sentiment analysis in the Bangla language is considered a crucial and well-timed research topic. Aspect-based sentiment analysis of the Bangla language is treated as...Show More
Chinese Text Sentiment Analysis Based on BI-GRU and Self-attention
2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)
Year: 2020 | Conference Paper |
Cited by: Papers (18)
Humans have been trying to get machines to understand human emotional states, and using natural language processing techniques for sentiment analysis is the mainstream solution. In order to solve the problem of high complexity and low efficiency in Chinese LSTM-based Chinese text sentiment analysis, this paper uses Bi-GRU (bidirectional GRU neural network) and attention mechanism model to analyze ...Show More
An annotated corpus for Turkish sentiment analysis at sentence level
2017 International Artificial Intelligence and Data Processing Symposium (IDAP)
Year: 2017 | Conference Paper |
Cited by: Papers (4)
With the rapid growth of unstructured data accessible via web, managing these data and finding undiscovered information in huge dataset become a necessary task. Consequently text mining, which can be defined as gleaning important information from natural language text, has emerged. In this study, in order to facilitate information management for aspect based sentiment analysis studies, a Turkish s...Show More
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