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News agencies publish news on their websites all over the world. Moreover,creating novel corpuses is necessary to bring natural processing to newdomains. Textual processing of online news is challenging in terms of thestrategy of collecting data, the complex structure of news websites, andselecting or designing suitable algorithms for processing these types of data.Despite the previous works which focus on creating corpuses for Iran news inPersian, in this paper, we introduce a new corpus for English news of anational news agency. ISNA-Set is a new dataset of English news of IranianStudents News Agency (ISNA), as one of the most famous news agencies in Iran.We statistically analyze the data and the sentiments of news, and also extractentities and part-of-speech tagging.

ISNA-Set: A novel English Corpus of Iran NEWS