Give a reply for given A,B questions minimum 150 words for each question, 1 APA reference each. 
The principal aim of the research was to determine the extent of discourses generated by the disagreeing parents and how they change due to intervention by the service. Additionally, the authors created and answered the question of “how much is it probable to assess the change in short tests?” Gagliardo Corsi and Turchi (2018) used the Methodology for the Analysis of Computerised Text Data (MADIT), a method that enables the possible analysis of the texts generated by the parents after consultation of the service. The authors used texts from 14 emails sent by every parent to one another.  The study found out that it was possible to identify a change in the repertoires utilized by parents in making decisions involving their child. The study also found out that there was a decrease in the intensity of conflicts and disagreements after the intervention was implemented. Moreover, the choices of the child were found to increase with the collaboration of the parents. The study employs a case study approach, and it can be applied in increasing the utilization of evaluation in services, minimizing costs, and assessing by email.                                                                                    
                 Text analysis played a fundamental role in fulfilling the purpose of the research. First, the method ensured that the root cause of the problem creating disagreements between separated parents when it comes to child-rearing was found. The authors established that mutual accusations were the significant causes of the discourse between the parents. Secondly, the application of text analysis ensured that issues were prioritized rapidly and efficiently.   Iudici, Gagliardo Corsi, and Turchi (2018) applied the MADIT method to prioritize the problems emerging from the 14 emails hence making the process of analysis more rapid and efficient. Thirdly, through the text analysis, the authors quickly discovered crucial information through the identification and development of the hypothesis, attainment of knowledge, and improvement in understanding. The authors analyzed the documents, identified entities, and further extracted relationships between them, hence unchaining the information that made it easier to reach conclusions (Fréchet, Savoie & Dufresne, 2019)
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Text analysis is increasingly becoming adopted in the modern business environment especially due to outburst of information. There have been emergence of organizations offering text analysis as a service; this is so as most of enterprises are data driven in making improved business policies (Redhu et al., 2018). Word spotting, text categorization, topic modelling and thematic analysis are some of the approaches, which are increasingly becoming embedded as part of conducting text analysis.
The type of study for this given article is investigative study as it accounts for different studies, which have been conducted on the application of text analysis in different business functions. The purpose of the study is to derive information, which could be useful to business especially those engaging in e-commerce on effective utilization of text analysis to improve customer satisfaction and the overall business operations. Major findings include that, text analysis has been useful in opinion gathering and analysis. E-commerce businesses and social media analysis are some of the emerging areas, where text analysis is becoming useful. As businesses shift to providing online services, there has been outburst of information related to customer data, online payment, order and transaction processing amongst other variety of data. Text analysis has been useful in ensuring that e-commerce businesses sort out large amount of data to small and relevant quantifiable information.
While there exists different methods of text analysis, I believe that this given article has formulated the approaches to utilizing this technique in data analytics. Text analysis as seen could be used in e-commerce to improve the management of data gathered and generated from business processes, which is usually in the form of text. Data in the given form is characterized with noise and usually unstructured, which makes text analysis become useful in ensuring that organizational management effectively translate the textual data into meaningful knowledge for improving business operations (Redhu et al., 2018).  
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