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Analyzing digital consumer insights through RoBERTa LLM based sentiment analysis and topic modeling. [PDF]
Sci RepShasha Q.
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Sentiment Analysis of Acceptance TVET Online Courses on the Skill Academy App from Google Play: Leveraging Text Mining with Comparison Machine Learning Model. [PDF]
F1000ResDarmono D +8 more
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Scientific reports multi relational dual attention graph transformer for fine grained sentiment analysis. [PDF]
Sci RepAnilkumar AP, Kim SK, Yoon YC.
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Sentiment Embeddings with Applications to Sentiment Analysis
IEEE Transactions on Knowledge and Data Engineering, 2016We propose learning sentiment-specific word embeddings dubbed sentiment embeddings in this paper. Existing word embedding learning algorithms typically only use the contexts of words but ignore the sentiment of texts. It is problematic for sentiment analysis because the words with similar contexts but opposite sentiment polarity, such as good and ...
Bing Qin, Duyu Tang, Nan Yang
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2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), 2021
Today digital reviews plays a vital part in influencing the customer. E-commerce companies provide a platform for consumers to share their thoughts and comments, thus it provides an insight about the performance of the product to the company as well as to buyers. In order to make it as useful one classifications of review is needed.
V. Baby Shalini +3 more
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Today digital reviews plays a vital part in influencing the customer. E-commerce companies provide a platform for consumers to share their thoughts and comments, thus it provides an insight about the performance of the product to the company as well as to buyers. In order to make it as useful one classifications of review is needed.
V. Baby Shalini +3 more
openaire +2 more sources
Sentiment Analysis Using Sentiment Features
2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), 2013Sentiment Analysis (SA) or opinion mining has recently become the focus of many researchers, because analysis of online text is beneficial and demanded for market research, scientific surveys from psychological and sociological perspective, political polls, business intelligence, enhancement of online shopping infrastructures, etc.
Seyed Ali Bahrainian +1 more
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2017
Extracting the latent structure of the aspects and the sentiment polarities is important as it helps customers to understand people’ preference to a certain product and show the reasons why they prefer this product. However, insufficient studies have been done to effectively reveal the structure sentiment of the aspects from short texts due to the ...
Abdulqader Almars +5 more
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Extracting the latent structure of the aspects and the sentiment polarities is important as it helps customers to understand people’ preference to a certain product and show the reasons why they prefer this product. However, insufficient studies have been done to effectively reveal the structure sentiment of the aspects from short texts due to the ...
Abdulqader Almars +5 more
openaire +2 more sources
2012
Mobile devices play a significant part in a user’s communication methods and much data that they read and write is received and sent via mobile phones, for instance SMS messages, e-mails, Twitter tweets and social media networking feeds. One of the main goals is to make people aware of how much negative and positive content they read and ...
Lorraine Chambers +3 more
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Mobile devices play a significant part in a user’s communication methods and much data that they read and write is received and sent via mobile phones, for instance SMS messages, e-mails, Twitter tweets and social media networking feeds. One of the main goals is to make people aware of how much negative and positive content they read and ...
Lorraine Chambers +3 more
openaire +2 more sources