ISNA-Set: A novel English Corpus of Iran NEWS
This work provides a domain-specific dataset for natural language processing in English news from Iran, addressing a gap as previous efforts focused on Persian news.
The authors introduced ISNA-Set, a new English corpus of news from the Iranian Students News Agency, and performed statistical analysis, sentiment analysis, entity extraction, and part-of-speech tagging on the data.
News agencies publish news on their websites all over the world. Moreover, creating novel corpuses is necessary to bring natural processing to new domains. Textual processing of online news is challenging in terms of the strategy of collecting data, the complex structure of news websites, and selecting or designing suitable algorithms for processing these types of data. Despite the previous works which focus on creating corpuses for Iran news in Persian, in this paper, we introduce a new corpus for English news of a national news agency. ISNA-Set is a new dataset of English news of Iranian Students 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 extract entities and part-of-speech tagging.