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Visar resultat 1 - 5 av 35 uppsatser som matchar ovanstående sökkriterier.

1. 1. Comparison of VADER and Pre-Trained RoBERTa: A Sentiment Analysis Application

   Kandidat-uppsats, Lunds universitet/Statistiska institutionen

   Författare :Linda Erwe; Xin Wang; [2024]
   Nyckelord :sentiment analysis; natural language processing; BERT; VADER; sustainability report; Mathematics and Statistics;

   Sammanfattning : 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. LÄS MER

3. 2. Sentiment Analysis for Swedish : The Impact of Emojis on Sentiment Analysis of Swedish Informal Texts

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Lovisa Berggren; [2023]
   Nyckelord :sentiment analysis; NLP; natural language processing; emojis; swedish;

   Sammanfattning : 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. LÄS MER

4. 3. Sentiment Analysis Of IMDB Movie Reviews : A comparative study of Lexicon based approach and BERT Neural Network model

   Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Prashuna Sai Surya Vishwitha Domadula; Sai Sumanwita Sayyaparaju; [2023]
   Nyckelord :Bag of Words BoW ; Deep Learning; IMDb Movie Reviews; Machine Learning; Natural Language Processing NLP ; Sentiment Analysis; Term Frequency- Inverse Document Frequency TF-IDF .;

   Sammanfattning : Background: Movies have become an important marketing and advertising tool that can influence consumer behaviour and trends. Reading film reviews is an im- important part of watching a movie, as it can help viewers gain a general under- standing of the film. And also, provide filmmakers with feedback on how their work is being received. LÄS MER

5. 4. Sentimental Analysis of CyberbullyingTweets with SVM Technique

   Kandidat-uppsats,

   Författare :Hrushikesh Thanikonda; Kavya Sree Koneti; [2023]
   Nyckelord :Cyberbullying tweets; Dataset; Data preprocessing; Machine Learning; Supervised Learning; Support Vector Machine; Validation.;

   Sammanfattning : Background: Cyberbullying involves the use of digital technologies to harass, humiliate, or threaten individuals or groups. This form of bullying can occur on various platforms such as social media, messaging apps, gaming platforms, and mobile phones. With the outbreak of covid-19, there was a drastic increase in utilization of social media. LÄS MER

7. 5. Textual Analysis and Detection of AIGenerated Academic Texts : A Study of ChatGPT Output, User Instructions, and Machine-Learning Classifiers

   Kandidat-uppsats, Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

   Författare :Adnan Al Medawer; [2023]
   Nyckelord :AI-generated texts; ChatGPT; Machine-learning; Text characteristics; Language models; Text Analysis; Detection tool.; AI-genererade texter; ChatGPT; Maskininlärning; Textegenskaper; Språkmodeller; Textanalys; AI-Detektion Verktyg;

   Sammanfattning : Den här studien utforskar den textmässiga likheten mellan AI-genererade texter av ChatGPT och ursprungliga akademiska texter, jämför prestandan hos AI-detekteringsverktyg och maskininlärningsklassificerare, inklusive SVM, Logistic Regression och Random Forest, vid detektering av AI-genererat innehåll, och undersöker hur användarinstruktioner påverkar textkvaliteten. En rad mätvärden som stilometri, sentiment, textlikhet, läsbarhet och relevans användes för att analysera textegenskaper. LÄS MER