Algorithms and criteria for diversification of news article comments

Giannopoulos, Giorgos; Koniaris, Marios; Weber, Ingmar; Jaimes, Alejandro; Sellis, Timos

doi:10.1007/s10844-014-0328-1

Cited by 13 publications

(14 citation statements)

References 8 publications

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“…Result diversification approaches have been proposed as a means to tackle ambiguity and redundancy, in various problems and settings, e.g., diversifying historical archives [19], diversifying user comments on news articles [20], diversifying microblog posts [21,22], diversifying image retrieval results [23], diversifying recommendations [24], utilizing a plethora of algorithms and approaches, e.g., learning algorithms [25], approximation algorithms [26], page rank variants [27] and conditional probabilities [28].…”

Section: Query Results Diversificationmentioning

confidence: 99%

Evaluation of Diversification Techniques for Legal Information Retrieval

2017

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"Public legal information from all countries and international institutions is part of the common heritage of humanity. Maximizing access to this information promotes justice and the rule of law". In accordance with the aforementioned declaration on free access to law by legal information institutes of the world, a plethora of legal information is available through the Internet, while the provision of legal information has never before been easier. Given that law is accessed by a much wider group of people, the majority of whom are not legally trained or qualified, diversification techniques should be employed in the context of legal information retrieval, as to increase user satisfaction. We address the diversification of results in legal search by adopting several state of the art methods from the web search, network analysis and text summarization domains. We provide an exhaustive evaluation of the methods, using a standard dataset from the common law domain that we objectively annotated with relevance judgments for this purpose. Our results: (i) reveal that users receive broader insights across the results they get from a legal information retrieval system; (ii) demonstrate that web search diversification techniques outperform other approaches (e.g., summarization-based, graph-based methods) in the context of legal diversification; and (iii) offer balance boundaries between reinforcing relevant documents or sampling the information space around the legal query.

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Section: Query Results Diversificationmentioning

confidence: 99%

Evaluation of Diversification Techniques for Legal Information Retrieval

2017

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“…2) Content-based diversi cation: to provide diverse content based on the varying similarity metrics, e.g. opinion similarities [8], aspect similarities [29], and topic similarities [33]. 3) Collaborative ltering-based diversi cation: to extend the collaborative network by probabilistic approaches [1,36] and latent distance [17].…”

Section: Improving Diversitymentioning

confidence: 99%

“…It can also cause an adverse e ect in social fragmentation and ideological polarization of discussions on social issues [14]. Many studies have been done to prevent these negative e ects by generating diversity in di erent disciplines, such as in online reviews [7,30], comments [8], e-commerce [10,23], question-answering sites [22], and politics [5,9].…”

Section: Introductionmentioning

confidence: 99%

Leveraging Interfaces to Improve Recommendation Diversity

Tsai

Brusilovsky

2017

Adjunct Publication of the 25th Conference on User Modeling, Adaptation and Personalization

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Increasing diversity in the output of a recommender system is an active research question for solving a long-tail issue. Most of the current approaches have focused on ranked list optimization to improve recommendation diversity. However, li le is known about the e ect that a visual interface can have on this issue. is paper shows that a multidimensional visualization promotes diversity of social exploration in the context of an academic conference. Our study shows a signi cant di erence in the exploration pa ern between ranked list and visual interfaces. e results show that a visual interface can help the user explore a a more diverse set of recommended items.

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“…The study found that Twitter can be used as a reliable method in analyzing attitudes towards global brands. Algorithms for extracting heterogeneous comments that represent the different aspects and sentiments in the news articles are proposed [11]. Mining sentiments from natural language is an extremely difficult task.…”

Section: Related Workmentioning

confidence: 99%

Framework for Participative and Collaborative Governance using Social Media Mining Techniques

Javed¹,

L²

2015

IJCA

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Social media and networking sites have broken the barriers in communication and brought about a revolution in information access, dissemination and communication. Given the inclusive and collaborative nature of social media, political leaders and government organizations too have attempted to harness it for building support, gauging popularity and analyzing the opinions of citizens. This paper, proposes a framework which focuses on the application of text mining techniques on social media content for achieving participative, collaborative and inclusive governance. Most of the political entities and government departments have twitter accounts. Though the tweet text is limited to 140 characters, the accompanying metadata and hashtag (#tag) embedded content make it a potent source for extracting entities, concepts and topics. Web Crawling for content pertaining to these entities and compilation of the same, results in a corpus suitable for text mining. Applying Natural Language Processing (NLP) and mining techniques like Part-of-Speech (POS) tagging, classification, clustering to this generated corpus enables categorizing and summarizing: a) sentiments b) queries and c) grievances. Summarized view of the content makes it amenable for decision making and formulation of responses. A Knowledgebase (KB) is created and perpetually updated with the concepts, entities, summaries, queries and responses. The continued process of creation and enhancement contributes to machine learning. The scope of this paper is limited to proposing a conceptual framework for social media mining facilitating informed decision making for better governance.

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Algorithms and criteria for diversification of news article comments

Cited by 13 publications

References 8 publications

Evaluation of Diversification Techniques for Legal Information Retrieval

Evaluation of Diversification Techniques for Legal Information Retrieval

Leveraging Interfaces to Improve Recommendation Diversity

Framework for Participative and Collaborative Governance using Social Media Mining Techniques

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