Political Sentiment Mining: A New Age Intelligence Tool for Business Strategy Formulation
01 Jan 2017-International Journal of Business Intelligence Research (IGI Global)-Vol. 8, Iss: 1, pp 55-70
TL;DR: Investigating Document Level Opinion Mining, Hindi Blogs Reviews, Hindi Language, Information Search and Retrieval, Machine Learning Techniques, Natural Languages Processing, Opinion Mining.
Abstract: Investigations on sentiment mining are mostly ensued in the English language. Due to the characteristics of the Indian languages tools and techniques used for sentiment mining in the English langua...
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18 Feb 2022
TL;DR: In this article , the authors conducted a systematic literature review based on PRISMA methodology to identify the most frequently used lexicons in political sentiment analysis, their results, similarities, and differences.
Abstract: This chapter presented an analysis of the application of lexicon-based political sentiment analysis in social media. The aim is to identify the most frequently used lexicons in political sentiment analysis, their results, similarities, and differences. For this, the authors conducted a systematic literature review based on PRISMA methodology. Afinn, NRC, and SenticNet lexicons are tested and combined for data analysis from the 2020 U.S. presidential campaign. Findings show that political sentiment analysis is a new field studied for only 10 years. Political sentiment analysis could generate benefits in understanding problems such as political polarization, discourse analysis, politician influence, candidate profiling, and improving government-citizen interaction, among other problems in the public sphere, enhanced by the combination of lexicons and multimodal analysis. The authors conclude that polarity was one of the critical dimensions identified for finding variations in the behavior and polarity of sentiments. Limitations and future work also are presented.
4 citations
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TL;DR: The development of an ethical balanced scorecard is suggested as a vehicle for developing ethical senstitivity in business intelligence BI practice.
Abstract: This paper examines three approaches to ethics and focuses on the development of character and the practice of virtue in business intelligence BI. The paper describes BI as a tool for mediating the relationships between pairs of stakeholders such as management and customer. Three aspects of the relationship which benefit ethically from the practice of virtues are discussed: the purpose of the BI, the prejudices behind the BI and the power of the stakeholders. The connection between the ethics of BI and the corporate ethics is discussed. Without the practice of virtues, BI may be recruited to support corporate vices of exploitation, exposure, exclusion, coercion, control and concealment. The paper seeks to highlight the importance of ethical issues in BI practice and suggests the development of an ethical balanced scorecard as a vehicle for developing ethical senstitivity.
12 citations
TL;DR: The study and resulting framework emphasize the need for system developers and database management personnel to be cognizant of the type of information resources being used, and ensure that search metadata elements that are appropriate for these specific resources are in place.
Abstract: Effectively managing information resources is an important activity contributing to the competitive advantage of modern organizations. Organizational knowledge workers must be able to search for pertinent information quickly and effectively. This research identifies the relative usefulness of the metadata elements associated with the Dublin Core metadata standard for the effective retrieval of three different information resources-structured business intelligence reports, structured spreadsheet reports, and unstructured reports in formats such as Word and PowerPoint. A survey of knowledge workers was conducted to determine the relative usefulness of the metadata elements for each of the three information resources and to develop a framework outlining where metadata tag requirements differ between such resources. Overall, the study and resulting framework emphasize the need for system developers and database management personnel to be cognizant of the type of information resources being used, and ensure that search metadata elements that are appropriate for these specific resources are in place.
12 citations
TL;DR: In this paper, the authors examined the characteristics of the underdeveloped world and touched upon the determinants of economic development, in order, the growth-oriented role of government in general, the specific roles or functions of government affecting economic development and the minimum political preconditions and the changes that take place in some of these precondition as economic development proceeds.
Abstract: T HIS PAPER HAS TO DO WITH the political preconditions and the political consequences of economic development. It relates principally to the underdeveloped world, a term which embraces Asia (with the exception of Soviet Asia, Japan and Israel), almost all of Africa, much of Latin America and portions of Southern and Eastern Europe. Around 1950, according to Shannon, 147 of the world's 195 political entities, embracing about 54 per cent of the world's landed area, were classifiable as underdeveloped. Within areas variously described as underdeveloped live between 60 and 75 per cent of the world's population.' After passing in review some of the characteristics of the underdeveloped world and touching upon the determinants of economic development, I shall examine, in order, the growth-oriented role of government in general, the specific roles or functions of government affecting economic development, the minimum political preconditions of economic development and the changes that take place in some of these preconditions as economic development proceeds.
10 citations
TL;DR: The study interprets the initial results of the undergoing master's thesis work of integrating the sentiment and spam detection in one system as exciting, irrelevant and objectionable.
Abstract: The boom of social media over the web has great impact on individual's and organization's decision making process about certain content. In today's world of business and marketing opinion mining plays a vital role in success of launching a new product and determining which versions of product is popular within customers. To extract the purposeful content from the social web, opinion mining performs an important role. Sentiment analysis is a current topic of research in this present era. This paper depicts a small effort explaining the process, applications and some challenges of opinion mining. In addition to the three basic opinions of sentiment detection i.e. positive neutral and negative this review paper suggests more precise sentiments like exciting, irrelevant and objectionable. Overall the study interprets the initial results of the undergoing master's thesis work of integrating the sentiment and spam detection in one system.
10 citations
TL;DR: This work looks at the suitability of Naive Bayesian methods for paragraph level text classification in the Kannada language and it is evident that Naiving Bayesian Multinomial model outperforms simple NaiveBayesian approach in paragraph classification tasks.
Abstract: The amount of data present online is growing very rapidly, hence a need for organizing and categorizing data has become an obvious need. The Information Retrieval (IR) techniques act as an aid in assisting users in obtaining relevant information. IR in the Indian context is very relevant as there are several blogs, news publications in Indian languages present online. This work looks at the suitability of Naive Bayesian methods for paragraph level text classification in the Kannada language. The Naive Bayesian methods are the most primitive algorithms for Text Categorization tasks. We apply dimensionality reduction technique using Minimum term frequency, stop word identification and elimination methods for achieving the task. It is evident that Naive Bayesian Multinomial model outperforms simple Naive Bayesian approach in paragraph classification tasks .
9 citations