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Published inOct 2022
PublisherPackt
ISBN-139781803242385
Edition1st Edition
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Nikos Tsourakis
Nikos Tsourakis
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Nikos Tsourakis

Nikos Tsourakis is a professor of computer science and business analytics at the International Institute in Geneva, Switzerland, and a research associate at the University of Geneva. He has over 20 years of experience designing, building, and evaluating intelligent systems using speech and language technologies. He has also co-authored over 50 research publications in the area. In the past, he worked as a software engineer, developing products for major telecommunication vendors. He also served as an expert for the European Commission and is currently a certified educator at the Amazon Web Services Academy. He holds a degree in electronic and computer engineering, a master's in management, and a PhD in multilingual information processing.
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Understanding sentiment analysis

You are running for public office, and to increase the chances of being elected, you must perform a substantial effort to persuade the voters. This undertaking becomes even more challenging for non-sympathizers and ambivalent citizens. Hence, a possible strategy is to focus on less favorable regions to your candidacy, which can be identified from the sentiment expressed in social media posts in this area. Similarly, suppose you are the CEO of a company that recently deployed a new product. This time, you are interested in knowing how your customers perceive it and in understanding their opinions. In both scenarios, you should also be concerned about the competition and the sentiment against your opponents’ political campaigns or competitor products. All these issues can be addressed by performing sentiment analysis: assigning a sentiment label to a piece of text. This task is the current chapter’s theme.

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Machine Learning Techniques for Text
Published in: Oct 2022Publisher: PacktISBN-13: 9781803242385

Author (1)

author image
Nikos Tsourakis

Nikos Tsourakis is a professor of computer science and business analytics at the International Institute in Geneva, Switzerland, and a research associate at the University of Geneva. He has over 20 years of experience designing, building, and evaluating intelligent systems using speech and language technologies. He has also co-authored over 50 research publications in the area. In the past, he worked as a software engineer, developing products for major telecommunication vendors. He also served as an expert for the European Commission and is currently a certified educator at the Amazon Web Services Academy. He holds a degree in electronic and computer engineering, a master's in management, and a PhD in multilingual information processing.
Read more about Nikos Tsourakis