Microblogs
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A rumor is commonly defined as a state- ment whose true value is unverifiable. Ru- mors may spread misinformation (false infor- mation) or disinformation (deliberately false information) on a network …...
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We present a novel topic modelling-based methodology to track emerging events in microblogs such as Twitter. Our topic model has an in-built update mechanism based on time slices and implements …...
YADAC: Yet another Dialectal Arabic Corpus
AbstractThis paper presents the first phase of building YADAC ― a multi-genre Dialectal Arabic (DA) corpus ― that is compiled using Web data from microblogs (i.e. Twitter), blogs/forums and online …...
Improving Web 2.0 Opinion Mining Systems Using Text Normalisation Techniques
A basic task in opinion mining deals with determining the overall polarity orienta- tion of a document about some topic. This has several applications such as detecting consumer opinions in …...
Named Entity Recognition using Cross-lingual Resources: Arabic as an Example
Some languages lack large knowledge bases and good discriminative features for Name Entity Recognition (NER) that can general- ize to previously unseen named entities. One such language is Arabic, which: …...
Capturing Cultural Differences in Expressions of Intentions
The intersection of psychology and computational linguistics is capable of providing novel au- tomated insight into the language of everyday cognition through analysis of micro-blogs. While Twitter is often seen …...
Time-aware Personalized Hashtag Recommendation on Social Media
The task of recommending hashtags for microblogs has been received considerable attention in recent years, and many applications can reap enormous benefits from it. Various approaches have been proposed to …...
Utilizing Microblogs for Automatic News Highlights Extraction
Story highlights form a succinct single-document summary consisting of 3-4 highlight sentences that reflect the gist of a news article. Automatically producing news highlights is very challeng- ing. We propose …...
Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities
Entity linking is the task of identifying men- tions of entities in text, and linking them to entries in a knowledge base. This task is espe- cially difficult in microblogs, …...
A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis
AbstractIn this paper, we propose a novel method for combining deep learning and classical feature based models using a Multi-Layer Perceptron (MLP) network for financial sentiment analysis. We develop various …...
Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction
AbstractIn this paper, we leverage social media platforms such as twitter for developing corpus across multiple languages. The corpus creation methodology is applicable for resource-scarce languages provided the speakers of …...
Lexical variation in English language podcasts, editorial media, and social media
AbstractThe study presented in this paper demonstrates how transcribed podcast material differs with respect to lexical content from other collections of English language data: editorial text, social media, both long …...