… analysis of the collected corpus and explain discovered phenomena. Using the corpus, we
build a sentiment classifier, that is able to determine positive, negative and neutral sentiments …

… After estimating the vector representations for each token in our corpus, we identify
positively-valenced tokens in the corpus by finding the token vector representations which are most …

… our corpus provides a reliable testbed for sentiment analysis for other types of social media
as well, without raising reproducibility issues. The SenTube corpus … Table 1 provides corpus …

… This paper addresses both approaches to Sentiment Analysis (SA): corpus-based and
lexicon-based. Because the publically available Arabic dataset and lexicons for SA are rare and …

… , sentiment-annotated corpus containing 15,744 … corpus and assigning polarities. We present
inter-annotator agreement and show the results of sentiment analysis trained on this corpus …

… In this paper, we outline the entire process of developing an annotated sentiment corpus, …
is a unique sentiment corpus with such a rich annotation for Persian. The corpus contains more …

… of this corpus. Section 4 shows a preliminary discussion of the collected corpus and the
results of the analysis … remarks about this paper and discussion of plans to enlarge this corpus. …

… -standard annotated corpus to support sensitivity and sentiment analysis (SSA) of Arabic
twitter feeds, which is the first publicly released corpus for this task. We collect a corpus of 8,868 …

… Abstract We present AWATIF, a multi-genre corpus of Modern Standard Arabic (MSA) labeled
for subjectivity and sentiment analysis (SSA) at the sentence level. The corpus is labeled …

… First, we propose a new sentiment analysis annotation scheme and develop a customer …
corpus. Second, we propose several new sentiment analysis tasks, and meanwhile analyze …