A review of feature selection techniques in sentiment analysis

Ahmad, Siti Rohaidah; Bakar, Azuraliza Abu; Yaakub, Mohd Ridzwan

doi:10.3233/ida-173763

Cited by 38 publications

(28 citation statements)

References 68 publications

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“…When calculating the bus accessibility, first calculate the shortest path length from a bus stop to all bus stops through the ArcGIS software, where the path is obtained based on the real urban road network map. Secondly, calculate the accessibility of each bus stop through Formula (1). Then generate the thermodynamic diagrams of bus accessibility by using the kernel density estimate, as shown in Figure 3.…”

Section: Bus Accessibilitymentioning

confidence: 99%

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Research on the Sustainable Development of Urban Housing Price Based on Transport Accessibility: A Case Study of Xi’an, China

Xue

et al. 2020

Sustainability

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The development of a real estate economy is beneficial to urban stability. A method of real estate price prediction based on transport accessibility is proposed. The method adds bus accessibility and metro accessibility into the model, which has higher prediction accuracy than the traditional model. Firstly, bus accessibility and metro accessibility are calculated according to the space syntax theory. Then, four models, the traditional hedonic price model (HPM) with transport accessibility, the traditional hedonic price model without transport accessibility, the random forest (RF) model with transport accessibility, and the random forest model without transport accessibility, are introduced. Finally, the four models are compared and analyzed in terms of precision and importance of index contributions. Taking Xi 'an, China, as an example, the experimental results show that the transport accessibility calculated based on space syntax can accurately represent the transport convenience in an urban space structure. Furthermore, it has a great influence on the contribution of indexes in the model. With the introduction of bus accessibility and metro accessibility, the accuracy of the real estate price prediction model is greatly improved.

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Section: Bus Accessibilitymentioning

confidence: 99%

“…The economic significance, collectability and data quantification of the feature need to be focused when considering the feature selection of house price prediction [1]. At present, there are two main factors in feature selection: the internal property factor and the location factor of the house.…”

Section: Introductionmentioning

confidence: 99%

Research on the Sustainable Development of Urban Housing Price Based on Transport Accessibility: A Case Study of Xi’an, China

Xue

et al. 2020

Sustainability

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“…In addition, [8] concluded that SA can help produce an effective analysis and better understanding of the use of the web by extremist groups for disseminating information and propaganda. In the field of politics, [10] - [13] used SA to analyse sentiments contained in speeches of candidates for elections, issues, and prediction of election results. Propaganda is also used by the military, media, politicians, advertisers, governments, businesses, during election, marketing and by other mediums.…”

Section: Sentiment Analysismentioning

confidence: 99%

“…The second step was recognising the methods used to identify the sentiments in the speech of an electoral candidate. According to [13], a feature is an aspect or attribute data [14] that users commented on. For example, a Panasonic electrical appliance, such as a radio is the product feature.…”

Section: A Review Of Feature Selection and Sentiment Analysis Tecmentioning

confidence: 99%

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A Review of Feature Selection and Sentiment Analysis Technique in Issues of Propaganda

Ahmad¹,

Zakwan²,

Syafira³

et al. 2019

IJACSA

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Propaganda is a form of communication that is used in influencing communities, or people in general, to push forward an agenda for a certain goal. Nowadays, there are different means used in distributing propaganda including postings on social media, illustrations, cartoons and animations, articles, TV and radio shows. This paper is focused on election propaganda. Candidates in elections would use propaganda as a form of communication to channel and deliver messages through social media. Sentiment analysis (SA) is then used in identifying the positive and negative elements within the propaganda itself, through analysing the related documents, social media, articles or forums. This paper presents the various techniques used by previous researchers in issues of propaganda using SA, which include feature selection to remove irrelevant features and sentiment methods to identify sentiment in documents or others. Feature selection is a dominant side in sentiment analysis due to content of textual has a high measurement classification that can jeopardize SA classification interpretation. This paper also explores several SA techniques to identify sentiments in issues of propaganda. This study has also attempted to identify the use of swarm algorithms as a suitable feature selection method in SA for propaganda issues.

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An Overview of the Application of Sentiment Analysis in Quality Function Deployment

Sarema¹,

Matope²

2021

Responsible AI and Analytics for an Ethical and Inclusive Digitized Society

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A review of feature selection techniques in sentiment analysis

Cited by 38 publications

References 68 publications

Research on the Sustainable Development of Urban Housing Price Based on Transport Accessibility: A Case Study of Xi’an, China

Research on the Sustainable Development of Urban Housing Price Based on Transport Accessibility: A Case Study of Xi’an, China

A Review of Feature Selection and Sentiment Analysis Technique in Issues of Propaganda

An Overview of the Application of Sentiment Analysis in Quality Function Deployment

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