Essays about: "sentiment classification"
Showing result 1 - 5 of 66 essays containing the words sentiment classification.
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1. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE
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2. Evaluating machine learning models for text classification
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : This thesis will explore the use of AWS machine learning services that enable natural language processing (NLP). More specifically, this work will focus on sentiment analysis of product and service reviews written in Swedish. READ MORE
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3. The Impact of the Retrieval Text Set for Text Sentiment Classification With the Retrieval-Augmented Language Model REALM
University essay from KTH/Matematik (Inst.)Abstract : Large Language Models (LLMs) have demonstrated impressive results across various language technology tasks. By training on large corpora of diverse text collections from the internet, these models learn to process text effectively, allowing them to acquire comprehensive world knowledge. READ MORE
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4. Sentiment Analysis for Swedish : The Impact of Emojis on Sentiment Analysis of Swedish Informal Texts
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This study investigates the use of emojis in sentiment analysis for the Swedish language, with the objective to assess if emojis improve the performance of the model. Sentiment analysis is an NLP classification task aimed at extracting people's opinions, sentiments, and attitudes from language. READ MORE
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5. AI-POWERED TEXT ANALYSIS TOOL FOR SENTIMENT ANALYSIS
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : In today’s digital era, text data plays a ubiquitous role across various domains. This bachelor thesis focuses on the field of sentiment analysis, specifically addressing the task of classifying text into positive, negative, or neutral sentiments with the help of an AI tool. READ MORE