Essays about: "Dictionary"
Showing result 1 - 5 of 144 essays containing the word Dictionary.
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1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application
University essay from Lunds universitet/Statistiska institutionenAbstract : Purpose: The purpose of this study is to examine how the overall sentiment results from VADER and a pre-trained RoBERTa model differ. The study investigates potential differences in terms of the median and shape of the two distributions. Data: The sustainability reports of 50 independent random companies are selected as the sample. READ MORE
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2. Relevant Dutch Lexical Influence in Contemporary Modern Japanese
University essay from Lunds universitet/Avdelningen för japanska och kinesiska; Lunds universitet/JapanskaAbstract : During the Edo Period of Japanese history, many loanwords entered the Japanese language through communication with the Dutch. Now, 164 years after the last significant linguistic exchange took place between the Dutch and the Japanese, it is interesting to see what lexical influence still exists in contemporary modern Japanese and which loanwords have fallen out of use. READ MORE
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3. Optimizing Lexicon-Based Sentiment Analysis for COVID-19 Twitter : Interactions in Health Contexts
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : During the COVID-19 pandemic, the surge in social media usage has elevated interestin sentiment analysis, especially for health-related applications. This bachelor thesisexplores the effectiveness of two lexicon-based sentiment analysis techniques, with afocus on enhancing the accuracy of the Valence Aware Dictionary for SentimentReasoning (VADER) algorithm. READ MORE
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4. Understanding Sales Performance Using Natural Language Processing - An experimental study evaluating rule-based algorithms in a B2B setting
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Natural Language Processing (NLP) is a branch in data science that marries artificial intelligence with linguistics. Essentially, it tries to program computers to understand human language, both spoken and written. Over the past decade, researchers have applied novel algorithms to gain a better understanding of human sentiment. READ MORE
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5. Automatic Voice Trading Surveillance : Achieving Speech and Named Entity Recognition in Voice Trade Calls Using Language Model Interpolation and Named Entity Abstraction
University essay from Uppsala universitet/Avdelningen Vi3Abstract : This master thesis explores the effectiveness of interpolating a larger generic speech recognition model with smaller domain-specific models to enable transcription of domain-specific conversations. The study uses a corpus within the financial domain collected from the web and processed by abstracting named entities such as financial instruments, numbers, as well as names of people and companies. READ MORE