Search results
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Title
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Customer Loyalty Improvement Recommender System (CLIRS)
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Author
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Tarnowska, Katarzyna
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Date Created
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2018
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Subjects--Topical
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Computer science
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Description
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This dissertation presents a novel data-driven approach to solve the problem of improving customer loyalty and customer retention. The data mining concepts of action rules and meta actions are used to extract actionable knowledge from customer sur...
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Title
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Emotion Mining From Text and Actionable Pattern Discovery
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Author
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Ranganathan, Jaishree
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Date Created
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2020
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Subjects--Topical
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Computer science
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Description
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In the era of Web 2.0, people express their opinion, feelings and thoughts about topics including political and cultural events, natural disasters, products and services, through mediums such as blogs, forums, and micro-blogs, like Twitter. Also, ...
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Title
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Granular Emotion Detection for Multi-class Sentiment Analysis in Social Media
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Author
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Frye, Robert
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Date Created
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2022
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Subjects--Topical
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Computer science
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Description
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Sentiment analysis for text classification generally refers to assessing the polarity of the emotional context of written text, whether in a binary (e.g. positive or negative) or trinary (e.g. positive, neutral, or negative) state. Granular emotio...
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Title
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Recommender System for Improving Churn Rate
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Author
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Duan, Yuehua
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Date Created
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2022
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Subjects--Topical
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Computer science
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Description
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Customer churn leads to higher customer acquisition cost, lower volume of service consumption and reduced product purchase. Reducing the outflow of the customers by 5% can double the profit of a typical company. Therefore, it is of significant value ...