Twitter Language Identification using Rational Kernels and its potential application to Sociolinguistics

Arabizi Identification in Twitter Data

In this work we explore some challenges related to analysing one form of the Arabic language called Arabizi. Arabizi, a portmanteau of Araby-Englizi, meaning Arabic-English, is a digital trend in texting Non-Standard Arabic using Latin script. Arabizi users express their natural dialectal Arabic in text without following a unified orthography. We address the challenge of identifying Arabizi fro...

The Role of Sociolinguistics in Second Language Acquisition

Learning a new language also involves learning a broad system of norms for social relations.This study broadly showed how EFL learners’ speech act is conveyed from their nativecultures when they are communicating in English and demonstrated that there are somepossibilities of cross-cultural misunderstanding when interlocutors are engaged in the speechact of complimenting with native speakers of...

Learning Languages with Rational Kernels

We present a general study of learning and linear separability with rational kernels, the sequence kernels commonly used in computational biology and natural language processing. We give a characterization of the class of all languages linearly separable with rational kernels and prove several properties of the class of languages linearly separable with a fixed rational kernel. In particular, w...

An Introduction to Sociolinguistics

Forecasting Stock Price Movements Based on Opinion Mining and Sentiment Analysis: An Application of Support Vector Machine and Twitter Data

Today, social networks are fast and dynamic communication intermediaries that are a vital business tool. This study aims at examining the views of those involved with Facebook stocks so that we can summarize their views to predict the general behavior of this stock and collectively consider possible Facebook stock price movements, and create a more accurate pattern compared to previous patterns...