Positive or Negative? A semantic orientation of financial news

Date

2019-01-01

Author

Kanmaz, Medet
Sürer, Elif

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

101
views

0
downloads

Semantic orientation, also known as sentiment analysis, is now expanding its research area due to its importance in many areas such as finance, business and management. In addition to the financial statements, news about the fundamentals of a company, forums, blogs and social media posts have become important sources affecting investors' decisions. On the other hand, due to the difficulties in monitoring the relevant and important stories about a company and determining its semantic orientation within this huge volume of information, automatic opinion mining has become a necessity for investors to act in a timely manner. In this context, this study presents a solution to the problem of semantic orientation of financial news by applying a Naive Bayes Classifier on a data set consisting of 75000 news texts formed from the news between 1996 and 2018 and analyzes the results in detail.

Subject Keywords

Machine learning, Sentiment analysis, Naive Bayes, Automatic labeling

URI

https://hdl.handle.net/11511/30096

DOI

https://doi.org/10.1109/siu.2019.8806596

Collections

Graduate School of Informatics, Conference / Seminar

Suggestions

OpenMETU
Core

Do US Corporate Governance Standards Effectively Discourage Risk in the Emerging Markets? Sayari, Naz; Marcum, Bill (2018-06-01) This study provides an examination of the effect of various corporate governance factors on the management of the risks inherent in business and the potential divergent impact of these factors on US firms and firms in emerging countries. In particular, the study scrutinises corporate governance and corporate risk-taking behaviour across different political and socioeconomic environments. In a cross-sectional time-series setting, two-step generalised least squares regression outcomes reveal that the impact o...
Knowledge networks and cognitive communities in clusters: the case of ICT cluster of METU Technopolis and agricultural tools and machinery cluster of Konya Yaşar, Suna Senem; Kayasü, Serap; Department of City and Regional Planning (2010) Knowledge is defined one of the fundamental resources for development, competitiveness and power of firms, industrial clusters and regions. Their competitiveness and development have a strong relationship with their ability to create, absorb and utilize knowledge and to learn, i.e. their cognitive capabilities. This thesis is focused on clusters as cognitive and learning systems. Clusters are the agglomerations where collective learning may take place. New knowledge is created and shared within the clusters...
Uncertainty assessment for the evaluation of net present value: a mining industry perspective Erdem, Özge; Demirel, Nuray (2012-05-01) The investment decisionmaking process in the insurance and finance industries is affected by new advances such as simulation techniques. These advances have improved the discounted cash flow method (DCF). In DCF, a dynamic and flexible model construction is not possible because it does not consider uncertain conditions. Each project should be evaluated taking into account the related uncertainties because the related uncertainties determine the characterization of the project. Related uncertainties can be p...
Increasing role of services in competitive power and innovativeness of firms and industrial clusters Eraydın, Ayda (2007-01-01) The aim of this paper is to discuss the importance of different types of global services for industrial firms and clusters in terms of their economic competitiveness and innovative performance. The theoretical debates argue that globalization, deregulation and the new production organization make it necessary to use global services that are supplied easily with the help of new telecommunication technologies. The existing empirical studies provide some supporting evidence. However, they also indicate that gl...
Similarity Assessment of Countries to Facilitate Learning from International Construction Projects Özyurt, Beste; BİLGİN, GÖZDE; Dikmen Toker, İrem; Birgönül, Mustafa Talat (2017-07-29) Companies’ ability to learn from projects is a source of competitive advantage in project-based industries. Learning from experiences in international markets is particularly important for global contractors so that the right bidding strategy can be developed, effective project governance systems can be established, and similar mistakes are not repeated. In this study, we assert that countries can be clustered according to their similarity so that experiences gained in these markets can be transferred and a...

Citation Formats

M. Kanmaz and E. Sürer, “Positive or Negative? A semantic orientation of financial news,” 2019, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/30096.