Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language

Souza, Ellen; Castro, Dayvid; Vitório, Douglas; Teles, Ingryd; Oliveira, Adriano L. I.; Gusmão, Cristine

doi:10.1007/978-3-319-31232-3_96

Cited by 5 publications

(9 citation statements)

References 7 publications

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“…The most common corpora were: Portuguese Attorney General's Office dataset (PAGOD), NILC (Interinstitutional Center for Computational Linguistics) corpus, Temário, Mac-Morpho, HAREM, and CSTNews. The PAGOD corpus and the Corpus of paediatric contain texts written in [14] have used, as corpus, text generated by users, known as user-generated or user-created content (UGC). According to the organisation for economic co-operation and development, UGC is defined as: (i) content made publicly available over the Internet, (ii) which reflects a certain amount of creative effort, and (iii) which is created outside of professional routines and practises.…”

Section: Rq5: What Are the Characteristics Of The Corpora Used?mentioning

confidence: 99%

“…Souza et al [14] plotted the landscape of current studies that relate to the application of text mining to UGTC in the Portuguese language. A total of 35 primary studies were included up to year 2014.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Many general text mining surveys [2, 5, 7, 13] are available; however, they do not include primary studies for Portuguese. Specifically for the Portuguese language, we found (i) a study describing the CLs area in Brazil [22], (ii) a paper that surveys the automatic term extraction (ATE) for Brazilian Portuguese [23], (iii) a paper which reviews the state of the art of relation extraction (RE) for Portuguese [12], and (iv) two other SMSs of ours: one mapping the use of text mining techniques to process UGTC [14] and other mapping a specific text classification sub‐task, opinion mining [15].…”

Section: Background and Related Workmentioning

confidence: 99%

“…The authors did not find studies that reported the use of clustering task for UGTC in Portuguese, also a unique tool for all mining tasks. This current SMS is an extended version of paper [14] and it maps not only the use of text mining techniques to process UGTC in the Portuguese language, but all kinds of texts such as software documents, abstract, online news, and others.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Many general text mining surveys [2, 5, 7, 13] are available, but they do not include primary studies for Portuguese. Two other systematic mapping studies (SMSs) of ours focus on mapping the use of text mining techniques to process user‐generated text content (UGTC) in the Portuguese language [14] and mapping a specific text classification sub‐task, opinion mining, for the Portuguese language [15].…”

Section: Introductionmentioning

confidence: 99%

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Characterising text mining: a systematic mapping review of the Portuguese language

et al. 2018

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Documents written in natural language constitute a major part of the artefacts produced during the software engineering life cycle. Studies indicate that more than 80% of enterprise data is stored in some sort of unstructured form, mainly as text. Therefore, the growth of user-generated content, especially from social media, provides a huge amount of data which allows discovering the experiences, opinions, and feelings of users. Text mining refers to the set of tools, techniques, and algorithms adopted to extract useful information from unstructured data. Considering that Portuguese ranks among the ten most spoken languages, and it is the second most common in Twitter, this study aims to map current primary studies that relate to the application of text mining for Portuguese. A systematic mapping method was applied and 6075 primary studies were retrieved up to the year 2014. A total of 203 studies were included, from which more than 60% analyse texts written in Brazilian variant. The majority of studies focus on the text classification task. Support vector machine and Naïve Bayes appear as main the algorithms. Folha de São Paulo and Público newspapers appear as main corpora, followed by the Portuguese Attorney General's Office corpus and Twitter.

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Section: Rq5: What Are the Characteristics Of The Corpora Used?mentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Characterising text mining: a systematic mapping review of the Portuguese language

et al. 2018

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The Application Domains of Systematic Mapping Studies: A Mapping Study of the First Decade of Practice With the Method

et al. 2022

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The systematic mapping study (SMS) is a relatively new method of generating new information from existing studies. First defined as a methodology in 2007, it offers a method to filter existing information to produce novel insight into the observed research domain, and pinpoint new directions of research. In this study, the systematic mapping study method was utilized to determine how SMS as a method has spread and was utilized during the first decade since its conceptualization. In general, it was found that the SMS method is still at its early phase in utilization, and is mainly used in software engineering and healthcare studies, but also in several other scientific domains. SMS research and the scientific outputs rely on transparent protocols when conducting the actual search and identification process, and so far, the applied protocol and research procedure correlates strongly with the application domain; different domains have their own protocols. The SMS method can be recommended, for example, when the aim is to gain knowledge on how a specific topic is studied and where there are research gaps. There are still areas that are debated or where successful implementation is difficult, the biggest problems being the amount of work it requires and possible lack of quality analysis of the articles.

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An Unsupervised Particle Swarm Optimization Approach for Opinion Clustering

Souza

Oliveira

et al. 2016

2016 5th Brazilian Conference on Intelligent Systems (BRACIS)

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Characterizing User-Generated Text Content Mining: A Systematic Mapping Study of the Portuguese Language

Cited by 5 publications

References 7 publications

Characterising text mining: a systematic mapping review of the Portuguese language

Characterising text mining: a systematic mapping review of the Portuguese language

The Application Domains of Systematic Mapping Studies: A Mapping Study of the First Decade of Practice With the Method

An Unsupervised Particle Swarm Optimization Approach for Opinion Clustering

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