Analyzing unstructured Facebook social network data through web text mining

Kahya-Özyirmidokuz, Esra

doi:10.1177/0266666914528523

Cited by 12 publications

(11 citation statements)

References 23 publications

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“…Abdul Jalil, Mohd and Mohamad Noor (2017), on the other hand, present a comparative study on correlation and information gain algorithms to evaluate and produce subsets of criminal characteristics, identifying a subset of attributes and classify the crimes into different categories, predicting the category of crime and directly support decision-making in crime prevention systems. A relevant point to consider is the inclusion of the information obtained from the mass media in the network, such as social networks, online newspapers or massuse websites as YouTube (Adnan et al, 2011;Kahya-Özyirmidokuz, 2016;Pinto et al, 2017;Song et al, 2016), platforms that is becoming the largest source of public access data in the world and that make extracting useful information and knowledge a fascinating and challenging task (Liu, 2011).…”

Section: Related Workmentioning

confidence: 99%

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

Saldaña

2020

J INFORM SYSTEMS ENG

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Crime analysis represents a great challenge to law enforcement considering that the sources to use for generating intelligence are diverse in content and/or structure. However, in recent years, techniques such as natural language processing, a field of computing, artificial intelligence and linguistics have been developed that allow to study the interactions between computers and human language, and that in turn can be used effectively in the analysis of large amounts of texts and in the subsequent derivation of interesting analytical results. This paper presents a model for analysis of criminal events from online newspapers, identifying the areas with the highest crime rates through the detection and geographical mapping of critical points and the analysis of the nature of the criminal event. The evaluation of the proposed model to estimate the perception of crime in the domain of the proposed communes indicates that it is efficient in categorizing the news and the nature of these (validated by the performance indicators).

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Section: Related Workmentioning

confidence: 99%

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

Saldaña

2020

J INFORM SYSTEMS ENG

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“…Some studies have been conducted in healthcare and information technology using text mining and analytics. For example, [11] used text mining techniques to gain insight from patient experience in the emergency department while [12] determined popular online shopping firms' Facebook patterns in Turkey.…”

Section: Summarizing the Evidencementioning

confidence: 99%

“…Text Mining [17] Interviews Disaster management Survivors and non-survivors; public safety agencies [18] Twitter Library Libraries and their patrons [12] Facebook Information technology (E-commerce)…”

Section: Source Of Article Source Of Data Application Area Affected Pmentioning

confidence: 99%

The Application of Text Mining and Analytics Studies: A Systematic Literature Review

Shayya¹,

Bahri²,

Jaafar³

et al. 2018

IJCTE

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A large amount of textual data is generated everyday through information technology, especially by social media platforms such as social network sites and mobile instant messaging applications. To analyse these large amount of textual data, analysts often turn to techniques called text mining and text analytics. Unfortunately, studies using these techniques are often more occupied with developing a new or extended models rather than determining how the findings could benefit organizations or societies. This occupation with the techniques rather than how the techniques could benefit the organizations or societies at large may render these studies a "plaything for the data scientists" rather than a useful technique to enhance knowledge and improve practice. This study intends to remedy this imbalance by identifying studies that use text mining and analytics techniques to inform organizational and societal practices. To do so, we will employ a method called the systematic literature review (SLR). The technique contains explicit and systematic process that distinguishes it from the conventional literature review. Eventually, the study reveals the source of data of the selected studies, their application area and the parties that will benefit from their findings. Lastly, this study discusses how studies using text mining and analytics can provide benefits to the larger society.

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“…TM has become an important research area in business in recent years [6]. Chang, Lin and Wang [7] aimed at applying data warehouse and DM technologies to analyze customers' behavior in order to form the right customers' profile and a growth model in an Internet and e-commerce environment.…”

Section: Related Researchmentioning

confidence: 99%

“…Kahya Özyirmidokuz [6] used TM to analyze online Turkish social shopping firms. The relationships are discovered via a Web TM model.…”

Section: Related Researchmentioning

confidence: 99%

Mining Customer Feedback Documents

Stoica¹,

Özyirmidokuz²

2015

IJKE

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Abstract-Managing customer feedback data has become a necessity for firms in order for them to gain competitive advantage in the sector. Analyzing customer complaints' data to find useful information that's hidden is an important step in understanding customers. This important, hidden knowledge must be extracted automatically to allow firms to gain a better understanding of the general market and of their own and their competitors' customers. A firm can learn the needs of customers and show how its products and services satisfy these needs by analyzing these documents.The aim of this research is to summarize and extract data from unstructured customer feedback documents which are about ignoring subscriptions to a telecommunication firm in Turkey. The data are transformed to a collection of documents by generating a document for each record. Text processing techniques are applied. Cosine similarity analysis is used to classify documents into relevant categories. Clusters are determined.

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Analyzing unstructured Facebook social network data through web text mining

Cited by 12 publications

References 23 publications

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

An Empirical Study of the Perception of Criminality through Analysis of Newspapers Online

The Application of Text Mining and Analytics Studies: A Systematic Literature Review

Mining Customer Feedback Documents

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