Sökning: "twitter data mining"

Visar resultat 1 - 5 av 19 uppsatser innehållade orden twitter data mining.

1. 1. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Alexander Gren; Klara Lundgren; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : 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. LÄS MER

3. 2. Big Data Analytics Using Apache Flink for Cybercrime Forensics on X (formerly known as Twitter)

   Magister-uppsats, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Manjunath Kakkepalya Puttaswamy; [2023]
   Nyckelord :Apache Flink; Apache Spark; Big Data; Twitter; X;

   Sammanfattning : The exponential growth of social media usage has led to massive data sharing, posing challenges for traditional systems in managing and analyzing such vast amounts of data. This surge in data exchange has also resulted in an increase in cyber threats from individuals and criminal groups. LÄS MER

4. 3. Multi-Channel Sentiment Analysis in Swedish as Basis for Marketing Decisions

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Malin Uhlander; [2023]
   Nyckelord :omni-channel marketing; sentiment analysis; Swedish; natural language processing; opinion mining;

   Sammanfattning : In today’s world, it is not enough for companies to consider any one social media channel in isolation. Instead, they must provide their customers with a unified experience across channels and consider interdependencies between channels. LÄS MER

5. 4. Investigating Tweet Propagation via Dynamical Models and Influencer Analysis

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Joel Nilsson; [2022]
   Nyckelord :Social Media Analysis; Dynamical Models; Data Mining;

   Sammanfattning : Social media consume an increasing portion of people’s daily lives and are important platforms in the realms of politics and marketing for reaching out to voters and consumers. Describing and predicting the behaviour of users on social media is thus of interest for companies and politicians, as well as researchers studying information diffusion and human behaviour. LÄS MER

7. 5. Aspect Mining of COVID-19 Outbreak with SVM and NaiveBayes Techniques

   Kandidat-uppsats,

   Författare :Akhilandeswari Komara; [2021]
   Nyckelord :Aspect Mining; COVID-19; Deeplearning; NLP;

   Sammanfattning : The outbreak of COVID-19 is one of the major pandemics faced by the world ever and the World Health Organization (WHO) had declared it as the deadliest virus outbreak in recent times. Due to its incubation period, predicting or identifying the paints had become a tough job and thus, the impact is on a large scale. LÄS MER