Task 1: Individual work Sample
Introduction
Presently in the whole world the use of programming languages in terms of developing different useful applications are widely used. As technology is rising and making the world act digitally in each field of work, the different programming concepts integrated in the different programming languages are used for the different technical advancement projects. The programming languages especially the backend languages that are used for performing the different functions that are used in the applications in mobile devices or computer devices. In this project one such programming language is used that can create a simple technique by writing a number of codes that can select a text file and can perform the different types of text analysis that is written in the text file. Any text file that is created by user can be used for the analysis that will be processed in the C# programming language. Text assessment or analysis is the technique of analysing words to identify computer information. Text Research is used to generate standardised information from multiple texts. Shredding and splitting piles of uncontrolled, contradictory papers into incredibly simple and defined data components is how the method operates. Text analysis that is done in this project is used for identifying and managing the preferences of customers, the needs and demands of people, it can also be used for exploring a better business by taking the reviews in identifying the words that are used for the products and the useful things that are related to the business. The programming techniques of analysing the text can help the user to extract the useful and essential data in mean or real time rather than searching manually that is executed by the staff members working in any company or organisation. The errors and mistakes that can happen in the large text files can be identified using the machine learning technologies or the deep learning techniques used in the programming language. Different patterns of recognition that are used by the doctors or the people from different countries can be identified using the text analysis. The different ancient literature that are mentioned in the different ancient books with millions of symbols can be identified using the text analysis method. In the next part of the analysis portion the methods and techniques used in the programming for executing the text analysis methods are explained
Analysis
In this part of the analysis of this project, the methods and implementations that are done to extract text from the text file loaded in the system are discussed (Yuksel et al. 2019). The number of texts that are stored in the text file are analysed in different ways and the codes that are used in performing the separate text analysis in each step are basically explained in different snips that are attached below (Krasnovidov et al. 2021).
Figure 1: Importing Libraries
(Source: VS Studio)
In the above snip, the different libraries that are used for creating a console application are imported (Yu et al. 2020). The above libraries store all the console properties by which the data can be modified and form the console based application. his project is mainly done to explore the uses of text analysis that is done with the help of programing language and utilise the concept of programming to identify multiple and multilingual languages in real time and the process of identifying the different symbols and text can be made easier for the people and the different organisations who area associated with the research of different languages and historical architectural picture s that are associated with the different art forms and symbols (Siregar et al. 2021). The cals that is created in the programming planbghaufes of C# use these important libraries and gather all the possible methods to manipulate the data that is fetched and used for developing the application. Every library has its own uses and properties by which it can perform different manipulation in text and takes the user input from the user and gives the resulting output that is displayed on the output screen of the programming window.
Figure 2: Defining Class and main function
(Source: VS Studio)
In the above snip, after defining and inserting the libraries that is used in the C# programming to develop a console based application, the namespace readfromfile is labelled in which the class readfromfile is defined (Gifu et al. 2021). After defining the class in which the codes can be written a main function is declared that is password at a time in the programming under which all the codes are written and manipulated and utilised for compiling the program by checking all the possible errors within the source codes that are written in the C# programming language (Odermatt et al. 2019). The main function in the programming language is defined once and act as an entrance point where all the source codes are arranged and written so that the proper outcome or output can be extracted after analysing the data (Jankowski et al. 2020).
Figure 3: Source Codes for reading the text from text files
(Source: VS Studio)
In the above snip, the source codes are being written that can open the position of files where the text file is usually stored and identify the text file and its format in which the data inside the text file is written (Vakaliuk et al. 2021). The source codes that are mentioned in the snip above also reflects the information about the text that is being fetched and readed by the console based application software on which the user is performing some unusual actions and returns the whole text inputs as string so that the text in the file can be analysed as a string (Efstathiou et al. 2019).
Figure 4: Output 1
(Source: VS Studio)
In the above snip, the first output box is displayed that results out and explores the information of all the text that is analysed from the sample file that is stored in the C drive (Gui et al. 2020). While storing or reading the folder in which the program is loaded, the user have to set the path of the text file and the user also integrate some source codes by which text file appears on the output screen and the people or the administrator who used to run the program successfully can check the data that is printed or generated on the screen after writing the essential mcodes (Giray et al. 2019). The result box displays the whole textual representation of the paragraph that is loaded in the sample text file.
Figure 5: Source codes for checking the occurrence of selected word
(Source: VS Studio)
In the above snip, the source codes are being written that displays the information about the selection of a word and integrating the different methods and codes that count the number of characters from the selected word that is sussed in the bapove snip (SHARMA et al. 2015). The word that is selected for the paragraph for the counting of characters is Machine learning. The number that is calculated takes as integer by which the number that will be displayed as output be shown as integer format (Rusakov et al. 2021).
Figure 6: Output 2
(Source: VS Studio)
The above snip displays the result or output of the words that are selected for counting the characters used in it (Jeraphin et al. 2021). the number of characters are hence calculate f for the word machine learning that is integrated in the paragraph of the text file by which the this text analysis method is performed.
Figure 7: Source codes for counting a single character occurence
(Source: VS Studio)
In the above snip, the source codes are being written by the user to check any single character from the text file that is fetched by the user in the C# programming language and check the occurrence of that character in the whole text file of the programming language (Jha et al. 2019). In the fourth line mentioned in the above snip a’ character is taken for checking the occurrence of that cjharager in numbers in the whole text file. The user can tackle any character and check the number of occurrences by just replacing the ‘a’ character that is used by the programmer in this project.
Figure 8: Output 3
(Source: VS Studio)
In the above snip, the output is produced for the text analysis that i9s done by the user to check the number of occurrences of any single character from the text file (Anwar et al. 2020). In this output frame the user can check the number of occurrences of the selected character ‘a;’ that is used by the programmer to perform a single character text checking analysis. The number of occurrences of the character that is used for the analysis is 1.
Figure 9: Source codes for counting whole words in text file
(Source: VS Studio)
In the adobe snip, the source codes are being written by the user in terms of checking the number of words in the whole text file and count the total number of words in the integer formats so that the user can properly analysis the number of words that are stored in the text file on which the anamlsyusis is being done (Maalej et al. 2020). The source codes set the length property variable for checking the characters that will be stored as integers and resulting in an output screen after the debugging process is started.
Figure 10: Output 4
(Source: VS Studio)
In the above snip, after the nalysinh of the text file fo9rm the selected drive where the text file is stored , the total word counts for the paragraph that is written is counted as 174. The whole words that are counted are visualised in the output and can be used for making the console based application where the user can count the large amount of words that can be stored in the application.
Figure 11: Source codes for counting number of words
(Source: VS Studio)
In the above snip, the source codes for teh C# A programming language is used to count the total number of words for a selected paragraph or the selected line that is used for checking the counts and understanding the difference of counted numbers of whole words in a text file from the counting of words from the selected paragraph or line.
Figure 12: Output 5
(Source: VS Studio)
In the above snip, after writing the source codes for counting the number of words for the selected paragraph or the line , the number of words that were present and counted were in the integer format. The total count of the words from the selected paragraph and lines is counted as 15 according to the snip defined above.
Figure 13: Source Codes for checking the number of characters
(Source: VS Studio)
In the above snip, the source codes are being written by the programmer to check the number of characters for a given word selected from the paragraph. The source code mentioned above integrates the selected word that is Machine learning and counts the number of characters that is used single or multiple times in that word and the calculation is displayed. The console function is used for replacing the string of words to a number format.
Figure 14: Output 6
(Source: VS Studio)
In the above snip[, the output for the word that is used for checking the number of characters is displayed . The machine learning word is analysed form tyhetect fuel and the totalcount of the character after it is displayed in the output screen.
Figure 15: Source codes for counting lines
(Source: VS Studio)
In the above snip, the source codes are being written b y the user that takes count an integer format and reads all the lines in the paragraph stored in the text file. Console.WriteLine is used for writing the number of lines and displaying the counts in a number format. The while loop is executed that takes the text and declares the values stored in the array for the initialization purpose for a single statement. The length property gives the calculated objects information.
Figure 16: Output 7
(Source: VS Studio)
In the above snip, the outputs is generated for the mentioned text anal;ysis abnopvbe that is countimng the numb er of lines for the selected paragraph and perform the usual text analysis methodiolgy , the user can detect the number of lines by the process that is done in the above snip that reflects the information of the lines stored in the pargraph of the selected text file. The number of lines that is counted is calculated as 3.
Reflection
In this project, I have used the C# programming language to compile the codes that will be executed to perform the text analysis by selecting the text file from a folder in which it is stored and the paths in which the text file is analysed and fetched out so that the sample file can be extracted from a specific path. After extracting or fetching the text file information or data some other text analysis techniques are also introduced and performed by me that visualises the amount of work done and executed in the console-based application. Initially after fetching the text file from the selected drive , the first text analysis that is done is the checking of a selected word and calculating the occurrence of that selected word in the whole text file , second analysis that is performed is the user have to enter a single character from the text file and check the number of times that character is occurred in the file, third task that is done related to the text analysis that the user have to get the number of lines from the selected paragraph and the number of lines is counted and hence displayed on the output screen. In this way I have performed and done the analysis to find the total number of words in the file or in the given string. Lastly the number of characters in the text file is calculated using the console based application made by me.
Conclusion
In the first part of the Introduction, the basic concept about the different types of programming g languages that are used for creating the different applications is discussed. It is also discussed about the project that this project consists of one such essential programming language by which a console-based application is made and one text analysis methodology is performed by analysing a text file that is stored in the selected drive of the user computer or devices. This project is mainly done to explore the uses of text analysis that is done with the help of programming language and utilise the concept of programming to identify multiple and multilingual languages in real time and the process of identifying the different symbols and text can be made easier for the people and the different organisations who area associated with the research of different languages and historical architectural picture s that are associated with the different art forms and symbols. Application programs, particularly backend languages, are used to execute many duties in mobile and computer apps. However, one scripting language is implemented in this project to construct a simple technique by developing an amount of code involved in choosing a text document and doing various forms of text processing on the text document. Any user-created text file can be utilised for the research, which will be analysed using the C# software program. The practice of evaluating texts to detect electronic information is known as text evaluation or analysis. Text Analysis is a strategy for extracting structured data from a large number of writings. Instead of exploring directly, which is done by employees in every firm or organisation, computing approaches for text analysis can assist the user in extracting relevant and necessary information in real – time. Machine learning methods or deep learning models employed in the computer program might identify faults and omissions that can occur in huge text documents. Text research could be used to identify different forms of detection employed by professionals or individuals from various nations. The text analysis approach may be used to identify the various apocryphal texts that are referenced in various sacred texts with thousands of characters. Text Research is a method for extracting specified data from a large number of texts. The approach works by disintegrating and separating masses of unmanaged, contradicting papers into incredibly basic and defined data components. This development’s textual analytics is used for discovering and regulating customers’ requirements, as well as people’s requirements and requests. It may be used to explore a good business by using assessments to determine the phrases that have been used for commodities and beneficial items regarding the business. Rather than just exploring individually, which is carried out by staff personnel, coding approaches for text analysis can assist the user in extracting relevant and crucial facts in the average or real – time basis. The analysis portion in this project depicts some possible ways to do the text analysis mentioned according to the snips defined. Hereby it is concluded that the C# a programming language can do the text analysis using the programming concepts based on console application and develop advanced and modern applications that can detect any type of data as well as symbols by the text analysis methodology.
Reference List
Journal
Yuksel, M.E. and Fidan, H., 2019. A decision support system using text mining based grey relational method for the evaluation of written exams. Symmetry, 11(11), p.1426.
Krasnovidov, A.V. and Khomonenko, A.D., 2021, December. Integration of MatLab and R with high-level languages using C# and Microsoft Visual Studio as an example. In Journal of Physics: Conference Series (Vol. 2131, No. 2, p. 022096). IOP Publishing.
Yu, S.H., Ferretti, D., Schessner, J.P., Rudolph, J.D., Borner, G.H. and Cox, J., 2020. Expanding the Perseus software for omics data analysis with custom plugins. Current protocols in bioinformatics, 71(1), p.e105.
Siregar, A.Z., 2021. Implementation Of ADFGVX Cipher And RSA On TXT And Doc File Security. Journal Basic Science and Technology, 10(3), pp.105-110.
Gifu, D., 2021. The Use of Decision Trees for Analysis of the Epilepsy. Procedia Computer Science, 192, pp.2844-2853.
Odermatt, M., Marcilio, D. and Furia, C.A., Static Analysis Warnings and Automatic Fixing: A Replication for C# Projects.
Jankowski, M. and Skublewska-Paszkowska, M., 2020. Analysis of the use of Java and C# languages for building a mobile application for the Android platform. Journal of Computer Sciences Institute, 16, pp.293-299.
Vakaliuk, T.A. and Pochtoviuk, S.I., 2021, July. Analysis of tools for the development of augmented reality technologies. CEUR Workshop Proceedings.
Efstathiou, V. and Spinellis, D., 2019, May. Semantic source code models using identifier embeddings. In 2019 IEEE/ACM 16th International Conference on Mining Software Repositories (MSR) (pp. 29-33). IEEE.
Gui, R., Chen, T. and Wu, Z., 2020. Spatial visualization and analysis of the development of high-paid enterprises in the yangtze river delta. In Spatial Synthesis (pp. 199-220). Springer, Cham.
Giray, G., 2019. An Analysis of Desired Skills for Software Development Jobs in Turkey Using Text Mining. In Conference Paper.
SHARMA, A., YUAN, T. and David, L.O., What’s Hot in Software Engineering Twitter Space?.(2015). In 31st International Conference on Software Maintenance and Evolution (ICSME 2015) (pp. 541-545).
Rusakov, M.O. and Krotova, O.S., 2021, December. Information system for monitoring of hypopituitarism in childhood and adolescence. In Journal of Physics: Conference Series (Vol. 2142, No. 1, p. 012017). IOP Publishing.
Jeraphin, J. and Ravi, D.S., An Architecture for Avoiding Repeated Messages in Whatsapp Messenger.
Jha, A.K., Singh, P.P. and Dwivedi, P., 2019, July. Maithili Text-to-Speech System. In 2019 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT) (pp. 1-6). IEEE.
Anwar, M.W., Ahsan, I., Azam, F., Butt, W.H. and Rashid, M., 2020, February. A natural language processing (NLP) framework for embedded systems to automatically extract verification aspects from textual design requirements. In Proceedings of the 2020 12th International Conference on Computer and Automation Engineering (pp. 7-12).
Maalej, A. and Kallel, I., 2020, July. Does keystroke dynamics tell us about emotions? A systematic literature review and dataset construction. In 2020 16th International Conference on Intelligent Environments (IE) (pp. 60-67). IEEE.
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