Text mining social media for competitive analysis
Social media are utilised widely. Companies increasingly use social media to communicate and interact with customers. Much information is thereby generated and is available to everybody, including competitors. Firms need to analyse what their customers say and interact with them. Using text mini...
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| Format: | Article |
| Language: | English |
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University of Algarve, ESGHT/CINTURS
2015-01-01
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| Series: | Tourism & Management Studies |
| Subjects: | |
| Online Access: | https://tmstudies.net/index.php/ectms/article/view/761/1268 |
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| author | Germán Gémar José Antonio Jiménez-Quintero |
| author_facet | Germán Gémar José Antonio Jiménez-Quintero |
| author_sort | Germán Gémar |
| collection | DOAJ |
| description | Social media are utilised widely. Companies increasingly use social
media to communicate and interact with customers. Much
information is thereby generated and is available to everybody,
including competitors. Firms need to analyse what their customers
say and interact with them. Using text mining tools, companies can
know where they are in relation to their competitors and control
the behaviour of these. Transforming text into data and data into
knowledge can be vital to make the right decisions and improving
the competitive strategy of companies.
This study used a text mining tool to analyse the primary social
media sites, including Twitter, Facebook, LinkedIn, YouTube and
others, with a focus on a sample of hotels. The dimensions analysed
were sentiments, passion and reach. A dependence was found
between several variables obtained through text mining and
financial performance. The results indicate that analysis of social
media using th |
| format | Article |
| id | doaj-art-37d507237e2046fc8ea568b04aa2b5df |
| institution | Kabale University |
| issn | 2182-8466 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | University of Algarve, ESGHT/CINTURS |
| record_format | Article |
| series | Tourism & Management Studies |
| spelling | doaj-art-37d507237e2046fc8ea568b04aa2b5df2025-02-02T23:46:19ZengUniversity of Algarve, ESGHT/CINTURSTourism & Management Studies2182-84662015-01-011118490Text mining social media for competitive analysisGermán Gémar0José Antonio Jiménez-Quintero1University of Malaga, Department of Economics and Business Administration, Campus El Ejido s/n. 29013, Malaga, SpainUniversity of Malaga, Department of Economics and Business Administration, 29013, Malaga, SpainSocial media are utilised widely. Companies increasingly use social media to communicate and interact with customers. Much information is thereby generated and is available to everybody, including competitors. Firms need to analyse what their customers say and interact with them. Using text mining tools, companies can know where they are in relation to their competitors and control the behaviour of these. Transforming text into data and data into knowledge can be vital to make the right decisions and improving the competitive strategy of companies. This study used a text mining tool to analyse the primary social media sites, including Twitter, Facebook, LinkedIn, YouTube and others, with a focus on a sample of hotels. The dimensions analysed were sentiments, passion and reach. A dependence was found between several variables obtained through text mining and financial performance. The results indicate that analysis of social media using thhttps://tmstudies.net/index.php/ectms/article/view/761/1268competitive intelligencesocial mediatext mininghotel industryfinancial performance |
| spellingShingle | Germán Gémar José Antonio Jiménez-Quintero Text mining social media for competitive analysis Tourism & Management Studies competitive intelligence social media text mining hotel industry financial performance |
| title | Text mining social media for competitive analysis |
| title_full | Text mining social media for competitive analysis |
| title_fullStr | Text mining social media for competitive analysis |
| title_full_unstemmed | Text mining social media for competitive analysis |
| title_short | Text mining social media for competitive analysis |
| title_sort | text mining social media for competitive analysis |
| topic | competitive intelligence social media text mining hotel industry financial performance |
| url | https://tmstudies.net/index.php/ectms/article/view/761/1268 |
| work_keys_str_mv | AT germangemar textminingsocialmediaforcompetitiveanalysis AT joseantoniojimenezquintero textminingsocialmediaforcompetitiveanalysis |