scholarly journals Analysis of Students’ Ability in Writing Analytical Exposition Text

LETS ◽  
2021 ◽  
Vol 3 (1) ◽  
pp. 23-30
Author(s):  
Reski Reski ◽  
Nurhaspia Nurhaspia ◽  
Uswatunnisa Uswatunnisa ◽  
Rabiatul Adawiah

This study aims to determine the ability to write an English analytical exposition text in class XI Religion 2 MAN 2 Polewali. Therefore, the main problem is how the students' ability to write analytical exposition texts in class XI Agama 2. This research is quantitative and descriptive. The population in this study were students of class XI Religion 2 MAN Polewali. This means that the population is 15 students, and this population is used as a sample of 15 students. In collecting the data, the researcher used a writing test. Students are asked to make an analytical exposition text. Analysis of student score data found that students' ability in writing analytical exposition texts was still lacking in class XI (15 students). In this case, in class XI, Religion 2, there were no students who got "very good" scores. Six students got the same student's work. The results of this study indicate that the ability to write analytical exposition texts is not capable with students' writing results below the average, and the researchers also found that students' writing results are considered impure because of the indications that students take them from the internet. This is indicated by the use of vocabulary used in addition to the results of interviews with the teacher. The researcher found that there was no guidance from the teacher to the students on how to write analytically. The teacher's exposition text only directs students to look for the structure of the analytical exposition text.

Author(s):  
Scott Moseley ◽  
Steve Randall ◽  
Anthony Wiles

Traditionally, conformance testing has been the domain of the telecommunications industry, while interoperability testing has mainly been limited to the Internet world. Many see these as either/or solutions, ignoring the fact that recent experience shows that both approaches have their strengths when used wisely. This paper discusses the merits and shortcomings of each approach and shows how they can usefully be combined to maximise the effectiveness of the testing process. This is especially relevant where testing is being treated as a potential branding issue by various fora. This paper is based on many years of practical experience of writing test specifications at the European Telecommunications Standards Institute (ETSI). It presents ETSI standardisation activities on testing, including the development of a generic interoperability testing methodology and the work being done by the Technical Committee Methods for Testing and Specification (MTS), the ETSI Protocol and Testing Competence Centre (PTCC), and the ETSI PlugtestsTM service.


2021 ◽  
pp. 220-240
Author(s):  
Anna G. Danilova ◽  
Olga V. Mitina

Relevance. In applied psychology, researchers are increasingly faced with the task of analyzing large amounts of text, both verbal and visual. For these purposes, various methods of analysis have been developed and various computer programs have been created. Objective. The possibilities of computerized qualitative text analysis are analyzed. The spectrum of problems solved by various methods of qualitative text analysis is considered. Methods. The theoretical analysis of classical methods of qualitative text analysis is carried out. The specificity of the method of computerized discourse analysis is analyzed. The Internet searched for the most popular programs for qualitative text analysis, considered the main options and requirements for working in the program. Results. Methods of content-, discourse-, intent-analysis, conversion and narrative analysis are briefly characterized. The computerized discourse analysis (CMDA) approach is described. An approach to solving problems of various methods of qualitative analysis of text in computer analysis of qualitative data (Computer Assisted Qualitative Data Analysis; CAQDAS) is presented. The possibilities of some software packages developed within the CAQDAS approach are considered. Conclusions. The advantages of using computerized discourse analysis are shown. The topic of research of methodological problems accompanying the use of CAQDAS is outlined.


2005 ◽  
Author(s):  
Florencia Andrea Garcia ◽  
Nairan Ramirez-Esparza ◽  
Raquel Suria ◽  
James W. Pennebaker

Author(s):  
Philip Garcia ◽  
Joseph Fera ◽  
Jan Mohlman ◽  
Corey H. Basch

AbstractThe COVID-19 pandemic first became evident at the end of 2019, and because of the many unknown aspects of this emerging infectious disease, the internet quickly became a source of information for consumers. It is important for any vital information to be written unambiguously, and at a level that can be understood by all people regardless of education levels. The purpose of this study was to assess the readability of 50 sources of COVID19 testing information online. Only 6 websites out of 50 received an appropriate readability score on more than one assessment. One-sample, one-tailed t-tests (α = 0.05, df = 49) were used to see if the websites with information on COVID-19 testing are being written at appropriate reading levels. The resulting p-values indicate that each p-value recorded is substantially below 0.05, it is very unlikely that websites on this topic are being written at the recommended levels. Even the optimal messages on COVID-19 reflect a confusing and rapidly changing public health crisis, however if messages are kept simple and clear, individuals will have the best possible chance of optimizing behavioral mitigation strategies. These are compelling reasons for informational hosts to take necessary steps to ensure that messages are written in as simple terms as possible. To this end, it is suggested that internet sites dispersing COVID-19 testing information build in text analysis methods for all published messages, particularly those meant to inform best health practices in the time of a pandemic.


10.28945/2667 ◽  
2003 ◽  
Author(s):  
Offer Drori

Contemporary information databases contain many millions of electronic documents. Locating information on the Internet today is problematic, due to the enormous number of documents it contains. Several other studies have found that associating documents with a subject or list of topics can improve lo-catability of information on the Internet (Drori, 2000a 2000b 2000c). Effective cataloguing of information is performed manually, requiring extensive resources. Consequently, most information is currently not catalogued. This paper aims to present a software tool that automatically locates the subject of a document and to show the results of a test performed, using the software tool, TextAnalysis, specially developed for this purpose. The main purpose of this study is to inform clients of the subject of the corpus of texts it obtains from search engines as a search results list.


Recommendation Systems have gathered a lot of attention from the research community following the introduction of internet. Internet provided platform for development and deployment of web, mobile and desktop-based applications. The overall penetration of the internet has increased across the globe over the last two decades which in turn provides more customers for the tech companies. In this project, we are mostly focussing on E-commerce companies like Amazon. It is never easy to find a product that has all the features you need. We have developed a model that can be used to assist the customers in choosing the best product available that has features as specified by the customer. This model will list down all the products that have that feature. Additionally, it will also provide a feedback to the manufacturer of the product regarding the features that did not impress most of the customers. The manufacturer can work on these features and improve them when launching upgraded versions or new products in the same category. The core idea of this project is to analyse the product reviews given by existing customer to assist a new customer in choosing the best product having the feature as specified by the customer.


2021 ◽  
Vol 11 (19) ◽  
pp. 9117
Author(s):  
Davlatyor Mengliev ◽  
Vladimir Barakhnin ◽  
Nilufar Abdurakhmonova

Currently, there is an active development of the Uzbek sector of the Internet. In it, as in other national sectors, the most common form of presentation of textual information is semi-structured documents, work that presupposes the availability of reliable algorithms for text analysis, including its lexical characteristics. The article offers an intelligent web application developed for morphological analysis of words in the Uzbek language. The web application is based on the concept of generation and stem analysis of the Uzbek language word forms. A well-known Porter algorithm was chosen as the basis for stemming. The morphoanalyzer generates word forms of the Uzbek language based on the division of words into certain classes, taking into account the specifics and structure of this language. For example, nouns can be classified by meaning (related, nominal), by quantity (singular and plural), by case, and also, by the endings of belonging (possessive).


Author(s):  
Tom Adi

In this chapter, we show how we derived a universal theory of semantics. Then we discuss the discovery’s impact on automated learning and text analysis. Using induction, we derive general principles from some observations on word meanings in Old Arabic passages called muhkam. Muhkam means that the meaning is made perfectly clear. We find that the 32 sounds of Arabic are signs that refer to abstract objects generated from two symmetry pairs and a three-element set. We show that word roots are structured signs referring to structured abstract objects. Arabic roots and their interpretations and reinterpretations form an abstract set of concepts that can be used as cognitive tools over which any language can render reality. We realized this in a software system we called Readware which performs automated text exploration and analysis in English, German and French, on and off the internet.


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