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Showing 1 to 20 of 32 for “"product reviews"”.

  1. Comparative text summarization of product reviews

    … thesis presents an approach towards summarizing product reviews using comparative sentences by sentiment analysis. Specifically, we consider the problem of extracting and scoring features from natural language text for qualitative reviews in a particular domain. When shopping for a product, …

    ksu Repository record for Comparative text summarization of product reviews (opens in a new tab)

  2. Using Sentiment Analysis on online product reviews for determining fairness

    Product reviews became one of the most relevant ways customers have to make up their mind about buying specific products. The relevance of these reviews tempts companies to either use them to attack their rivals or to oversell their products by providing misguiding information that does not fit …

    middlesex Repository record for Using Sentiment Analysis on online product reviews for determining fairness (opens in a new tab)

  3. STUDYING PRODUCT REVIEWS USING SENTIMENT ANALYSIS BASED ON INTERPRETABLE MACHINE LEARNING

    Consumers’ reliance on product reviews and ratings has been making substantial impacts on purchasing behaviors in e-commerce. However, the relationship between reviews and ratings has received limited attention. For instance, a product may have a high rating but average reviews. Such feedback can …

    maryland Repository record for STUDYING PRODUCT REVIEWS USING SENTIMENT ANALYSIS BASED ON INTERPRETABLE MACHINE LEARNING (opens in a new tab)

  4. ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS

    … (ABOM) systems take as input a corpus about a product and aim to mine the aspects (the features or parts) of the product and obtain the opinions of each aspect (how positive or negative the appraisal or emotions towards the aspect is). A few systems like Twitter Aspect Classifier and Twitter …

    windsor Repository record for ASPECT-BASED OPINION MINING OF PRODUCT REVIEWS IN MICROBLOGS USING MOST RELEVANT FREQUENT CLUSTERS OF TERMS (opens in a new tab)

  5. Sentiment analysis of product reviews using coupled sentence-bidirectional encode representations from transformers and topic modeling

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2024-09-16 without embargo terms

    uiuc Repository record for Sentiment analysis of product reviews using coupled sentence-bidirectional encode representations from transformers and topic modeling (opens in a new tab)

  6. FACTORS INFLUENCING CONSUMERS' TRUST PERCEPTIONS OF ONLINE PRODUCT REVIEWS: A STUDY OF THE TOURISM AND HOSPITALITY ONLINE PRODUCT REVIEW SYSTEMS

    … WOM systems are burgeoning on the Internet for products such as music and books (Amazon.com), news (Slashdot.org), consumer electronics (shopping.com), tourism and travel (Tripadvisor.com; Hotels.com), and many other products and services. As with the traditional WOM, numerous studies have shown …

    temple Repository record for FACTORS INFLUENCING CONSUMERS' TRUST PERCEPTIONS OF ONLINE PRODUCT REVIEWS: A STUDY OF THE TOURISM AND HOSPITALITY ONLINE PRODUCT REVIEW SYSTEMS (opens in a new tab)

  7. Aspect-based sentiment analysis for social recommender systems.

    … to users. The retrieval and ranking of products, using similarity knowledge, is central to the recommendation architecture. To enhance recommendation performance, having an effective representation of products is essential. Social content such as product reviews contain experiential …

    rgu Repository record for Aspect-based sentiment analysis for social recommender systems. (opens in a new tab)

  8. How companies can leverage crowdsourcing

    … Other activities include content generation, product design, idea generation, and product reviews. The explosive growth of the internet has made the world a more connected place. One consequence of that is that crowdsourcing can now be carried out efficiently and inexpensively through …

    mit Repository record for How companies can leverage crowdsourcing (opens in a new tab)

  9. Word Sense Disambiguation in the domain of Sentiment Analysis through Deep Learning

    … expressed in text sourced from the Amazon product reviews data were analysed using 1D CNN and LSTM deep learning algorithms. The Amazon product reviews data is segmented according to the type of product category which is essentially a context category. The effectiveness of each algorithm …

    cape-town Repository record for Word Sense Disambiguation in the domain of Sentiment Analysis through Deep Learning (opens in a new tab)

  10. A vector space approach for aspect-based sentiment analysis

    … encoded in user generated content such as product reviews. In particular, we target three ABSA sub-tasks: aspect term extraction, aspect category detection, and aspect sentiment prediction. We investigate the effectiveness of vector representations over different text data, and evaluate the …

    mit Repository record for A vector space approach for aspect-based sentiment analysis (opens in a new tab)

  11. A study of fine-grained sentence-level emotion tagging

    … test sets, one with email messages and one with product reviews, to evaluate the proposed features. Experimental results show that in general, dependency features are beneficial, and in particular, using relative position features can significantly improve the accuracy. We also present clustering …

    uiuc Repository record for A study of fine-grained sentence-level emotion tagging (opens in a new tab)

  12. Design: Encouraging Sustainability Through Persuasion

    … networking application that provides sustainable product reviews. Instead of following a traditional sustainable design framework, the final deliverable focuses on creating an efficient supply-and-demand circulation for sustainable products. It delivers a unique corporate proposition showing how …

    vt Repository record for Design: Encouraging Sustainability Through Persuasion (opens in a new tab)

  13. Consumer-Centric Innovation for Mobile Apps Empowered by Social Media Analytics

    … consumers can exchange comments online about products and services that businesses offer. The existing literature has demonstrated that online user-generated content can significantly influence consumer behavior and increase sales. However, its impact on organizational operations has been …

    vt Repository record for Consumer-Centric Innovation for Mobile Apps Empowered by Social Media Analytics (opens in a new tab)

  14. Online Review Analytics: New Methods for discovering Key Product Quality and Service Concerns

    … as categorize safety concern reports in online reviews by using key terms prevalent in sub-categories of safety concerns. This dissertation extends the literature of semi-automatic text classification methodology in monitoring and classifying product quality and service concerns. We develop …

    vt Repository record for Online Review Analytics: New Methods for discovering Key Product Quality and Service Concerns (opens in a new tab)

  15. Computer assisted design reflection : a web application to improve early stage product in startup companies

    … results from datasets derived from Amazon product reviews. Further testing and development is proposed, beginning with the assembly of large design reflection datasets, as none currently exist. Such datasets would enable system improvements and open up new avenues of research in …

    mit Repository record for Computer assisted design reflection : a web application to improve early stage product in startup companies (opens in a new tab)

  16. Studying the impact of social media integration into online augmented reality-enabled services on consumer purchase intentions

    … mirror feed to their social media presence and product reviews. It scrutinises how these elements impact customer trust, decision comfort, and purchase intentions. The theory of social presence is central to understanding these effects. Furthermore, the study provides insights into the crucial …

    middlesex Repository record for Studying the impact of social media integration into online augmented reality-enabled services on consumer purchase intentions (opens in a new tab)

  17. Market and strategic analysis of opinion aggregators

    … one of the most popular opinion aggregators, the product review aggregator, to understand its market opportunities, enabling technologies, and business models. The author samples nine product review aggregators based on the content type, the aggregation method, and the relationship with customers. …

    mit Repository record for Market and strategic analysis of opinion aggregators (opens in a new tab)

  18. Deep Emotion Analysis of Personal Narratives

    … focused on sources such as news documents and product reviews. In these cases, the NLP task is the classification into predefined closed-set emotion categories (e.g. happy, sad), or alternatively labels (positive, negative). A deep and fine-grained emotion analysis would require explanations of …

    trento Repository record for Deep Emotion Analysis of Personal Narratives (opens in a new tab)

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