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AUTHOR

Esra Kahya ÖZyirmidokuz

showing 4 related works from this author

Methodological Approach for Messages Classification on Twitter Within E-Government Area

2018

The constant growth in the numbers of Social Media users is a reality of the past few years. Companies, governments and researchers focus on extracting useful data from Social Media. One of the most important things we can extract from the messages transmitted from one user to another is the sentiment—positive, negative or neutral—regarding the subject of the conversation. There are many studies on how to classify these messages, but all of them need a huge amount of data already classified for training, data not available for Romanian language texts. We present a case study in which we use a Naive Bayes classifier trained on an English short text corpus on several thousand Romanian texts. …

Text corpusFocus (computing)Computer scienceRomanianmedia_common.quotation_subjectSubject (documents)language.human_languageWorld Wide WebNaive Bayes classifierConstant (computer programming)languageSocial mediaConversationmedia_common
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Brand Unhappiness on Social Media

2017

Social media is one of the places where brands can communicate with their customers and potential customers easily and fast. Although there are lots of advantages to using social media including low cost, being able to measure customers’ feelings, having fast and easy access to consumers, etc., it is very important for a firm not to make any mistakes on social media, because the online brand is lonely against to the crowd. Customers can easily give feedback about brands. Unhappy customers can share their opinion with the masses through social media and negatively affect the firm. It is important for firms to control and manage brand unhappiness. Firms should understand brand unhappiness fac…

FeelingOrder (business)media_common.quotation_subjectControl (management)HappinessSocial mediaAdvertisingBusinessAffect (psychology)media_common
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Measuring Female Entrepreneurs’ Happiness from Online Feedback

2019

Entrepreneurship provides an important solution to the unemployment problem. This is also very important in economic growth. It has financial, psychological and social risks while taking the situation into consideration. In addition, women’s participation in the work force has a vital importance in Turkey’s national income. Nearly 8.5% of women are in management, or in decision-making positions. It is important to measure happiness of these female workforce in order to understand and manage their feelings. Our previous study investigated successful women happiness and ideas about being entrepreneurial women in Turkey to discover the factors of the happy women entrepreneurs’ success in busin…

EntrepreneurshipFeelingOrder (exchange)media_common.quotation_subjectMeasures of national income and outputWorkforceUnemploymentFemale entrepreneursHappinessDemographic economicsPsychologymedia_common
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Evaluation of Female Entrepreneurs’ Emotional Feedback

2018

Female unemployment rates are very high in Turkey. Women’s participation in the work force will not only increase the national income but also increase the number of female entrepreneurs in business life to join what is traditionally considered a man’s world. Although there are few (only about 8.5%) women in management, there are women in top and decision-making positions. To encourage Turkish women into entrepreneurship, there are third-party online organizations which share and publicize online success stories of Turkish female entrepreneurs. This research aims to discover the factors related to female entrepreneurs’ success in business life. The aim of the research is to evaluate female …

EntrepreneurshipTurkishmedia_common.quotation_subjectMeasures of national income and outputlanguage.human_languageWork forceOrder (business)Female entrepreneursUnemploymentHappinesslanguageMarketingPsychologymedia_common
researchProduct