Essays about: "social media algorithms"

Showing result 1 - 5 of 65 essays containing the words social media algorithms.

1. 1. Prevalent Discord. Exploring and estimating the prevalence of the type of user disagreement on news media Facebook posts discussing the Colombian peace process (2020-2022)

   University essay from Lunds universitet/Graduate School

   Author : Luis Felipe Villota Macias; [2024]
   Keywords : Agonistic peace; antagonism; big data analytics; binary logistic regression; computational content analysis; Colombia; Colombian peace process; discord; Facebook; machine learning; peace process; public opinion and sentiment; social media; Law and Political Science; Social Sciences;

   Abstract : This thesis is dedicated to exploring and understanding public reactions within negotiated peace settlements based on social media data. Concretely, to modeling public opinion and sentiment within the context of the Colombian peace process using a curated dataset of N= ~1. 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. Digital Front End Algorithms for Sub-Band Full Duplex

   University essay from Lunds universitet/Institutionen för elektro- och informationsteknik

   Author : Midhat Rizvi; Khaled Al-Khateeb; [2023]
   Keywords : Adjacent Channel Leakage Ratio; Bit Error Rate; Clipping and Filtering; Crest Factor Reduction; Digital front end; Digital Pre-Distortion Error Vector Magnitude; Frequency Division Duplex; Power Amplifier; Peak to Average Power Ratio; Peak Cancellation Crest Factor Reduction; Sub Band Full Duplex; Self-Interference Cancellation; Signal-to-Interference Noise Ratio; Signal-to-Noise Ratio; Turbo Clipping; Time Division Duplex; Technology and Engineering;

   Abstract : Sub-band full duplex is a new communication scheme technology, where a single frequency band is partitioned into sub-bands for downlink (DL) and up-link(UL) transmissions, and both can take place simultaneously. The idea behind the sub-band full duplex development is to improve the throughput, and coverage and reduce the latency of the UL communication by allowing the UL reception during the DL transmission. 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