Results 221 to 230 of about 50,760 (261)
, 2007 Some of the next articles are maybe not open access.
Related searches:
Related searches:
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
openaire +1 more source
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 +1 more source
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
openaire +1 more source
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 ...
Duyu Tang +5 more
openaire +1 more source
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
openaire +2 more sources
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
Natural Language Engineering, 2012
AbstractIn recent years, the interest among the research community in sentiment analysis (SA) has grown exponentially. It is only necessary to see the number of scientific publications and forums or related conferences to understand that this is a field with great prospects for the future.
Eugenio Martínez-Cámara +3 more
openaire +1 more source
AbstractIn recent years, the interest among the research community in sentiment analysis (SA) has grown exponentially. It is only necessary to see the number of scientific publications and forums or related conferences to understand that this is a field with great prospects for the future.
Eugenio Martínez-Cámara +3 more
openaire +1 more source
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
openaire +2 more sources
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
Leveraging Personalized Sentiment Lexicons for Sentiment Analysis
Proceedings of the 2020 ACM SIGIR on International Conference on Theory of Information Retrieval, 2020We propose a novel personalized approach for the sentiment analysis task. The approach is based on the intuition that the same sentiment words can carry different sentiment weights for different users. For each user, we learn a language model over a sentiment lexicon to capture her writing style.
Dominic Seyler +4 more
openaire +1 more source
Sentiment Analysis in TripAdvisor
IEEE Intelligent Systems, 2017Web platforms such as TripAdvisor allow tourists to describe their experiences with hotels, restaurants, and other tourist attractions. This article proposes TripAdvisor as a source of data for sentiment analysis tasks. The authors develop an analysis for studying the matching between users’ sentiments and automatic sentiment-detection algorithms. They
Ana Valdivia +2 more
openaire +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