Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick Review
This paper aims to provide a quick review to jump-start the research in the field of text mining where Machine Learning (ML) algorithms have been used and several accomplishments have been reported by the research community. There are different categories of text mining, and the implementation of ML...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
University of Sindh
2022-09-01
|
| Series: | University of Sindh Journal of Information and Communication Technology |
| Subjects: | |
| Online Access: | https://sujo.usindh.edu.pk/index.php/USJICT/article/view/6276 |
| _version_ | 1797805715588382720 |
|---|---|
| author | Syed Zafar Ali Shah Sadaqat Jan Ibrar Ali Shah |
| author_facet | Syed Zafar Ali Shah Sadaqat Jan Ibrar Ali Shah |
| author_sort | Syed Zafar Ali Shah |
| collection | DOAJ |
| description | This paper aims to provide a quick review to jump-start the research in the field of text mining where Machine Learning (ML) algorithms have been used and several accomplishments have been reported by the research community. There are different categories of text mining, and the implementation of ML algorithms and techniques have been supported in the literature to give promising results. However, in this area of study, most of the research activities in terms of time and efforts are consumed during the initial stages where implementations and experiments are carried out to evaluate various combinations. The accomplishments in this field can be further advanced by presenting early investigations concisely and analytically. Thus, the benefits of this paper are threefold: first, it will provide a platform for the new researchers to start quickly with a shorter literature review and knowing more precisely about the combinations of text mining and ML; secondly, clear analysis has been presented about the text mining categories where the performance of ML algorithms have been reported successful; and lastly, the problems have been identified for which the algorithms were used in various studies. This will enable the new researchers to directly target the problem instead of implementing the existing techniques. With the help of well-structured questions, the results are more analytical and present multidimensional views to this research issue. Main findings include that ML has been widely used in document classification and Support Vector Machine (SVM) is the most successful algorithm reported. |
| first_indexed | 2024-03-13T05:55:09Z |
| format | Article |
| id | doaj.art-ba3828b9941549af82ae273cf1153828 |
| institution | Directory Open Access Journal |
| issn | 2521-5582 2523-1235 |
| language | English |
| last_indexed | 2024-03-13T05:55:09Z |
| publishDate | 2022-09-01 |
| publisher | University of Sindh |
| record_format | Article |
| series | University of Sindh Journal of Information and Communication Technology |
| spelling | doaj.art-ba3828b9941549af82ae273cf11538282023-06-13T06:04:24ZengUniversity of SindhUniversity of Sindh Journal of Information and Communication Technology2521-55822523-12352022-09-016389946276Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick ReviewSyed Zafar Ali Shah0Sadaqat Jan1Ibrar Ali Shah2Department of Computer Software Engineering University of Engineering &Technology Mardan, PakistanDepartment of Computer Software Engineering University of Engineering &Technology Mardan, PakistanDepartment of Computer Software Engineering University of Engineering &Technology Mardan, PakistanThis paper aims to provide a quick review to jump-start the research in the field of text mining where Machine Learning (ML) algorithms have been used and several accomplishments have been reported by the research community. There are different categories of text mining, and the implementation of ML algorithms and techniques have been supported in the literature to give promising results. However, in this area of study, most of the research activities in terms of time and efforts are consumed during the initial stages where implementations and experiments are carried out to evaluate various combinations. The accomplishments in this field can be further advanced by presenting early investigations concisely and analytically. Thus, the benefits of this paper are threefold: first, it will provide a platform for the new researchers to start quickly with a shorter literature review and knowing more precisely about the combinations of text mining and ML; secondly, clear analysis has been presented about the text mining categories where the performance of ML algorithms have been reported successful; and lastly, the problems have been identified for which the algorithms were used in various studies. This will enable the new researchers to directly target the problem instead of implementing the existing techniques. With the help of well-structured questions, the results are more analytical and present multidimensional views to this research issue. Main findings include that ML has been widely used in document classification and Support Vector Machine (SVM) is the most successful algorithm reported.https://sujo.usindh.edu.pk/index.php/USJICT/article/view/6276text miningmachine learningsentiment analysissupport vector machine |
| spellingShingle | Syed Zafar Ali Shah Sadaqat Jan Ibrar Ali Shah Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick Review University of Sindh Journal of Information and Communication Technology text mining machine learning sentiment analysis support vector machine |
| title | Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick Review |
| title_full | Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick Review |
| title_fullStr | Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick Review |
| title_full_unstemmed | Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick Review |
| title_short | Towards the Optimal Use of Machine Learning Algorithms in Text Mining: A Quick Review |
| title_sort | towards the optimal use of machine learning algorithms in text mining a quick review |
| topic | text mining machine learning sentiment analysis support vector machine |
| url | https://sujo.usindh.edu.pk/index.php/USJICT/article/view/6276 |
| work_keys_str_mv | AT syedzafaralishah towardstheoptimaluseofmachinelearningalgorithmsintextminingaquickreview AT sadaqatjan towardstheoptimaluseofmachinelearningalgorithmsintextminingaquickreview AT ibraralishah towardstheoptimaluseofmachinelearningalgorithmsintextminingaquickreview |