Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests
Takakazu Imada, Yusuke Inoue, Lei Chen, Syunya Doi, Tian Nie, Chen Zhao, Takehito Utsuro, Yasuhide Kawada
Abstract
This paper proposes how to utilize a search engine in order to predict market shares. We propose to compare rates of concerns of those who search for Web pages among several companies which supply products, given a specific products domain. We measure concerns of those who search for Web pages through search engine suggests. Then, we analyze whether rates of concerns of those who search for Web pages have certain correlation with actual market share. We show that those statistics have certain correlations. We finally propose how to predict the market share of a specific product genre based on the rates of concerns of those who search for Web pages.- Anthology ID:
- L16-1303
- Volume:
- Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)
- Month:
- May
- Year:
- 2016
- Address:
- Portorož, Slovenia
- Editors:
- Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Helene Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association (ELRA)
- Note:
- Pages:
- 1917–1923
- Language:
- URL:
- https://aclanthology.org/L16-1303
- DOI:
- Cite (ACL):
- Takakazu Imada, Yusuke Inoue, Lei Chen, Syunya Doi, Tian Nie, Chen Zhao, Takehito Utsuro, and Yasuhide Kawada. 2016. Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 1917–1923, Portorož, Slovenia. European Language Resources Association (ELRA).
- Cite (Informal):
- Analyzing Time Series Changes of Correlation between Market Share and Concerns on Companies measured through Search Engine Suggests (Imada et al., LREC 2016)
- PDF:
- https://preview.aclanthology.org/emnlp22-frontmatter/L16-1303.pdf