Is Twitter A Better Corpus for Measuring Sentiment Similarity?

7x1-PT: um Corpus extra\'\ido do Twitter para An\'alise de Sentimentos em L\'\ingua Portuguesa (7x1-PT: a Corpus extracted from Twitter for Sentiment Analysis in Portuguese Language)

Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction

In 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 that…

Generating Sentiment Lexicons for German Twitter

Despite a substantial progress made in developing new sentiment lexicon generation (SLG) methods for English, the task of transferring these approaches to other languages and domains in a sound way still remains open. In…

An Arabic Twitter Corpus for Subjectivity and Sentiment Analysis

We present a newly collected data set of 8,868 gold-standard annotated Arabic feeds. The corpus is manually labelled for subjectivity and sentiment analysis (SSA) ( = 0:816). In addition, the corpus is annotated with a v…

Multi-task dialog act and sentiment recognition on Mastodon

Because of license restrictions, it often becomes impossible to strictly reproduce most research results on Twitter data already a few months after the creation of the corpus. This situation worsened gradually as time pa…