Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 8 of 8 for “"Text sentiment"”.
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Self-supervised text sentiment transfer with rationale predictions and pretrained transformers
Sentiment transfer involves changing the sentiment of a sentence, such as from a positive to negative sentiment, whilst maintaining the informational content. Whilst this challenge in the NLP research domain can be constructed as a translation problem, traditional sequence-to-sequence translation …
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Textual analysis, information diffusion, and asset returns
… methods of news analytics are used to quantify textual information. Text sentiment extracts text’s attitude by counting negative words and has proved extremely useful in a variety of contexts. The literature interprets it in three ways: quantitative information, soft news, and psychological …
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TONGS: TLDR; Opinion Network Guide System
<p>In the modern world, huge amounts of text are being generated every minute. For example, Twitter users post their current emotions in tweets, while Facebook users vent about their experience in posts. In just one minute, Twitter users upload 350,000 tweets, and Facebook users post anywhere from …
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Evolutionary deep learning
… across a wide range of image and sentiment classification problems. We further develop an algorithm that automatically determines whether a given data science problem is of classification or regression type, successfully choosing the correct problem type with more than 95% …
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A review-aware multi-modal neural collaborative filtering recommender system
… which incorporates data from multi-modalities, textual data and explicit ratings data (and review sentiment). The primary objectives of this study are twofold. Firstly, the aim is to create and assess the efficacy of the, relatively new, deep learning-based collaborative filtering approach - NCF …
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Essays on initial public offerings
… such as bank loans. In the second essay, using text sentiment analysis, we investigate the relationship between tone, length and information content of prospectuses and underpricing in a sample of UK IPOs between 2004 and 2012. The peculiar feature of the UK IPO market is the wide use of …
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NLP driven large scale financial data analysis
… development of deep learning and widely used for texts related tasks such as text sentiment analysis and recommendation system. However, currently there is no widely acknowledged framework on utilizing NLP technique to mine news articles under finance or marketing topic for valuable information …
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FINE-GRAINED EMOTION DETECTION IN MICROBLOG TEXT
<p>Automatic emotion detection in text is concerned with using natural language processing techniques to recognize emotions expressed in written discourse. Endowing computers with the ability to recognize emotions in a particular kind of text, microblogs, has important applications in sentiment …