Essays about: "analyzing algorithms"

Showing result 1 - 5 of 171 essays containing the words analyzing algorithms.

1. 1. Systematically Analyzing Synthetic Automotive Data to support Space Filling Curves-based Maneuver Detection

   University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

   Author : Alexandre Rancati-Palmer; Christopher Axt; [2023-08-03]
   Keywords : Morton; Carla; autonomous driving; edge case;

   Abstract : Context: In autonomous driving system development, the identification of maneuvers within large datasets is progressively becoming more complex, primarily due to the inherent complexity arising from the multidimensional nature of the data describing these maneuvers. In this context, algorithms based on Space-Filling Curves can be an effective way to index datasets by creating a single-dimensional representation of the maneuvers. READ MORE

3. 2. Deep Learning Based Sentiment Analysis

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Shashank Kalluri; [2023]
   Keywords : Sentiment Analysis; Word Embedding; Deep Learning;

   Abstract : Background: Text data includes things like customer reviews and complaints,tweets from social media platforms. When analyzing text-based data, the SentimentModel is used. Understanding news headlines, blogs, the stock market, politicaldebates, and film reviews some of the areas where sentiment analysis is used. READ MORE

4. 3. Analyzing Toxicity in YouTube Comments with the Help of Machine Learning

   University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

   Author : Sasan Dehkhoda; Jasmyn Ali Gunica; [2023]
   Keywords : Toxic comments; YouTube; Machine Learning; Natural Language Processing;

   Abstract : Toxic comments are overall likely to make someone feel uncomfortable and leave a discussion and are therefore potentially problematic. Toxic comments occur online on various social media, and depending on the site, get detected manually or via machine learning algorithms (or both), and removed depending on the severity and other factors. READ MORE

5. 4. Bullying Detection through Graph Machine Learning : Applying Neo4j’s Unsupervised Graph Learning Techniques to the Friends Dataset

   University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

   Author : Olof Enström; Christoffer Eid; [2023]
   Keywords : Bullying; Graph Machine Learning; Community Detection; Neo4j; Data Preprocessing; Similarity Algorithms; Friends; Neo4j; Unsupervised Learning; Anti-bullying;

   Abstract : In recent years, the pervasive issue of bullying, particularly in academic institutions, has witnessed a surge in attention. This report centers around the utilization of the Friends Dataset and Graph Machine Learning to detect possible instances of bullying in an educational setting. READ MORE

6. 5. Sentiment-Driven Cryptocurrency Price Prediction : A Comparative Analysis of AI Models

   University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Author : Jammithri Kotapati; Suma Vendrapu; [2023]
   Keywords : Artificial Intelligence; Cryptocurrency Prices; News Articles; Sentiment Analysis; Social Media Posts. ii;

   Abstract : Background: In the last few years, there has been rapid growth in the use of cryptocurrency, as it is a form of digital currency and was developed using blockchain technology, so it is almost impossible to counterfeit cryptocurrency. Due to these features, it has attracted a lot of popularity and attention in the market. READ MORE