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Institutional Repository [SANDBOX]
Technical University of Crete
Technical University of Crete
EN
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| URI: | http://purl.tuc.gr/dl/dias/028F015A-37BC-4113-A803-B6F45663184E | ||
| Year | 2021 | ||
| Type of Item | Master Thesis | ||
| License |
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| Bibliographic Citation | Nikolaos Krystallis, "Study of social media data", Master Thesis, School of Production Engineering and Management, Technical University of Crete, Hellenic Army Academy, Chania, Greece, 2021 https://doi.org/10.26233/heallink.tuc.89031 | ||
| Appears in Collections |
The use and creation of tools for natural language processing has accelerated inrecent years as the amount of data that can be collected is significantly greaterand the potential for processing at hardware and software level has increased.This dissertation lists the entire process followed to achieve emotional analysis.Initially from interconnection with the social platform, the collection andnormalization of data and the extraction and visualization of results. The code used to carry out the above procedures is posted on the Internet.The purpose of this dissertation is to analyze data from the social network Twitter and to analyse especially Sentiment Analysis according to the data of the specific social network. It concerns the field of Natural Language Processing if written texts are analyzed in order to draw useful conclusions about the users who created them. The basic analysis carried out in the context of the work is the emotional analysis based on an emotional dictionary for the Greek language.
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