Survey on Organizational Chat Conversation Analysis: Exploring Dialogue Summarization from a Knowledge Discovery Perspective
With the latest advances in natural language processing technologies, multi-participant conversation summarization features are now embedded in the most widely used collaboration platforms offered by industry leaders such as Microsoft, Google, and Zoom. This allows employees to streamline their work...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Riga Technical University
2024-07-01
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| Series: | Complex Systems Informatics and Modeling Quarterly |
| Subjects: | |
| Online Access: | https://csimq-journals.rtu.lv/article/view/8814 |
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| _version_ | 1849220744237547520 |
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| author | Ksenija Kosilova Ilze Birzniece |
| author_facet | Ksenija Kosilova Ilze Birzniece |
| author_sort | Ksenija Kosilova |
| collection | DOAJ |
| description | With the latest advances in natural language processing technologies, multi-participant conversation summarization features are now embedded in the most widely used collaboration platforms offered by industry leaders such as Microsoft, Google, and Zoom. This allows employees to streamline their work and increase efficiency by summarizing long chat threads. In this study, an attempt has been made to perceive summarized chat conversations as a tool for knowledge discovery and reusable information extraction within an organization in general or during projects. To this end, recent scientific articles have been reviewed to identify the most effective techniques and approaches for summarizing chat threads and conversations alongside the challenges and peculiarities of collaborative text-based communication. In addition, significant attention has been paid to the further utilization of the extracted information to represent the knowledge for further reuse. |
| format | Article |
| id | doaj-art-c480efcaa71848abbc0acad4eebebea7 |
| institution | Kabale University |
| issn | 2255-9922 |
| language | English |
| publishDate | 2024-07-01 |
| publisher | Riga Technical University |
| record_format | Article |
| series | Complex Systems Informatics and Modeling Quarterly |
| spelling | doaj-art-c480efcaa71848abbc0acad4eebebea72024-12-05T09:56:30ZengRiga Technical UniversityComplex Systems Informatics and Modeling Quarterly2255-99222024-07-010398610410.7250/csimq.2024-39.053729Survey on Organizational Chat Conversation Analysis: Exploring Dialogue Summarization from a Knowledge Discovery PerspectiveKsenija Kosilova0Ilze Birzniece1Institute of Applied Computer Systems, Riga Technical University, 6A Kipsalas Street, Riga, LV-1048Institute of Applied Computer Systems, Riga Technical University, 6A Kipsalas Street, Riga, LV-1048With the latest advances in natural language processing technologies, multi-participant conversation summarization features are now embedded in the most widely used collaboration platforms offered by industry leaders such as Microsoft, Google, and Zoom. This allows employees to streamline their work and increase efficiency by summarizing long chat threads. In this study, an attempt has been made to perceive summarized chat conversations as a tool for knowledge discovery and reusable information extraction within an organization in general or during projects. To this end, recent scientific articles have been reviewed to identify the most effective techniques and approaches for summarizing chat threads and conversations alongside the challenges and peculiarities of collaborative text-based communication. In addition, significant attention has been paid to the further utilization of the extracted information to represent the knowledge for further reuse.https://csimq-journals.rtu.lv/article/view/8814dialogue summarizationcollaborative chat conversation summarizationknowledge extractioninformation extractionreusable knowledge |
| spellingShingle | Ksenija Kosilova Ilze Birzniece Survey on Organizational Chat Conversation Analysis: Exploring Dialogue Summarization from a Knowledge Discovery Perspective Complex Systems Informatics and Modeling Quarterly dialogue summarization collaborative chat conversation summarization knowledge extraction information extraction reusable knowledge |
| title | Survey on Organizational Chat Conversation Analysis: Exploring Dialogue Summarization from a Knowledge Discovery Perspective |
| title_full | Survey on Organizational Chat Conversation Analysis: Exploring Dialogue Summarization from a Knowledge Discovery Perspective |
| title_fullStr | Survey on Organizational Chat Conversation Analysis: Exploring Dialogue Summarization from a Knowledge Discovery Perspective |
| title_full_unstemmed | Survey on Organizational Chat Conversation Analysis: Exploring Dialogue Summarization from a Knowledge Discovery Perspective |
| title_short | Survey on Organizational Chat Conversation Analysis: Exploring Dialogue Summarization from a Knowledge Discovery Perspective |
| title_sort | survey on organizational chat conversation analysis exploring dialogue summarization from a knowledge discovery perspective |
| topic | dialogue summarization collaborative chat conversation summarization knowledge extraction information extraction reusable knowledge |
| url | https://csimq-journals.rtu.lv/article/view/8814 |
| work_keys_str_mv | AT ksenijakosilova surveyonorganizationalchatconversationanalysisexploringdialoguesummarizationfromaknowledgediscoveryperspective AT ilzebirzniece surveyonorganizationalchatconversationanalysisexploringdialoguesummarizationfromaknowledgediscoveryperspective |