Abstract
Prior text mining studies of corporate reputational sentiment based on newswires, blogs and Twitter feeds have mostly captured reputation from the perspective of two groups of stakeholders – the media and consumers. In this study we examine the sentiment of a potentially overlooked stakeholder group, namely, the firm’s employees. First, we present a novel dataset that uses online employee reviews to capture employee satisfaction. We employ LDA to identify salient aspects in employees’ reviews, and manually infer one latent topic that appears to be associated with the firm’s outlook. Second, we create a composite document by aggregating employee reviews for each firm and measure employee sentiment as the polarity of the composite document using the General Inquirer dictionary to count positive and negative terms. Finally, we define employee satisfaction as a weighted combination of the firm outlook topic cluster and employee sentiment. The results of our joint aspect-polarity model suggest that it may be beneficial for investors to incorporate a measure of employee satisfaction into their method for forecasting firm earnings.
Original language | Undefined |
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Title of host publication | 36th European Conference on IR Research, ECIR 2014 |
Place of Publication | London |
Publisher | Springer |
Pages | 519-527 |
Number of pages | 9 |
ISBN (Print) | 978-3-319-06027-9 |
DOIs | |
Publication status | Published - Apr 2014 |
Event | 36th European Conference on Information Retrieval, ECIR 2014: (IR Resarch) - Amsterdam, Netherlands Duration: 13 Apr 2014 → 16 Apr 2014 Conference number: 36 |
Publication series
Name | Lecture Notes in Computer Science |
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Publisher | Springer Verlag |
Volume | 8416 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | 36th European Conference on Information Retrieval, ECIR 2014 |
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Abbreviated title | ECIR |
Country/Territory | Netherlands |
City | Amsterdam |
Period | 13/04/14 → 16/04/14 |
Keywords
- EWI-24670
- Text Mining
- Social Media
- Sentiment Analysis
- IR-91062
- frim reputation
- Finance
- METIS-305867
- employee satisfaction