Explore the importance of digital wellness and learn how to maintain a balance between digital and face-to-face interactions. The lesson covers concepts of citizenship, etiquette, and safety in the digital world, along with exploring what digital media is and how it shapes our everyday lives. Activi

0 views • 11 slides

An in-depth guide to navigating the world of Twitter, covering topics such as Twitter lingo, interacting with others, hashtags, and privacy settings. Learn about tweets, feeds, handles, mentions, direct messaging, and more. Discover the ins and outs of using this online social network to communicate

0 views • 18 slides

Twitter users often face challenges with orphaned tweets lacking hashtags, impacting visibility and engagement. Manikandan Vijayakumar's thesis explores leveraging social signals to recommend hashtags, highlighting the significance of hashtags in organizing tweets, enhancing discoverability, and inc

1 views • 71 slides

This project involves creating a Microsoft Hololens heads-up display for an interactive tour of the ASU campus. It includes showcasing landmarks and a Twitter feed displaying geo-tagged tweets. The motivation stems from enhancing self-guided tour experiences for prospective students, potentially aid

1 views • 15 slides

Governments and Public Health Organizations can harness the power of Arabic Twitter to extract valuable insights during the COVID-19 pandemic. By analyzing Arabic tweets, they can uncover topics of discussion, identify rumors, predict tweet sources, and update disease ontologies. Data collection spa

0 views • 20 slides

Social media has revolutionized the way information is shared and analyzed, influencing statistical trends significantly. From the evolution of the web to the rise of platforms like Twitter and Facebook, the accessibility of vast amounts of data has opened new avenues for research and experimentatio

0 views • 29 slides

This research delves into the realm of sarcasm detection in tweets, utilizing a dataset of sarcastic and non-sarcastic tweets to build a model for classification. Through methods like feature extraction and model building with WEKA, the study aims to enhance the understanding of sarcasm detection on

0 views • 9 slides

The evolution of sentiment analysis on tweets from SemEval competitions in 2013 to 2017 is discussed, showcasing advancements in technology and the shift from SVM and sentiment lexicons to CNN with word embeddings. Aspect-Based Sentiment Analysis, as explored in SemEval2014, involves determining asp

0 views • 23 slides

The content discusses instances of hate speech in two different scenarios. In the public employee speech case, a building inspector's tweets lead to his firing and subsequent legal action. In the student speech case, a high school junior's involvement in a white nationalist demonstration causes disr

0 views • 16 slides

The Welsh Natural Language Toolkit (WNLT) is an open-source software for Welsh NLP, offering features like tokenization, lemmatization, part-of-speech tagging, and named entity recognition. With a user-friendly GUI and CLI, as well as an accessible API, WNLT simplifies NLP tasks for both technical a

0 views • 29 slides

Addressing challenges in microblog retrieval such as vocabulary mismatch and multi-faceted relevance signals. Explore opportunities in leveraging lexical and non-lexical information, including geographical meta-data. Discuss prior work on utilizing timestamps and re-tweets, while also highlighting t

0 views • 19 slides

The Social Media Data Analysis Team led by Hanu Pathuri and Mohammed Tawashi is focused on conducting exploratory analysis of Twitter data with media. By analyzing the vast amount of data available on Twitter, the team aims to uncover interesting facts, trends, and patterns. They are investigating h

0 views • 47 slides

This project involved gathering a substantial amount of Twitter data for sentiment analysis, including 1717 negative and 687 positive tweets. The data labeling process was initially manual but later automated using a semi-supervised learning technique. A Naive Bayes Classifier was trained using a Ba

0 views • 17 slides

Social media, particularly Twitter, plays a vital role in addressing health inequalities and promoting public health resources in Scotland. With over 11.3K followers, the platform effectively spreads information and garners engagement on health-related topics. Strategies such as live-tweeting events

0 views • 8 slides

This study delves into the evaluation of microblog content value by analyzing feedback from followers and strangers on Twitter. The research explores the content that is valued and why, examining design implications, emerging norms, and practices in the online space. The study also discusses anticip

0 views • 44 slides

Text mining is a crucial aspect of data science that involves extracting information from textual data through various techniques like creating a corpus, pre-processing contents, and defining bag-of-words. This process helps in inferring valuable insights from texts, which are as diverse as the meth

0 views • 19 slides