2. MOHAMMAD-NAVID MASAHATI
Information acquired: 2025
MOHAMMAD-NAVID MASAHATI is an academic who published a paper in 2022 entitled Gaining more from Tweets: Knowledge, Actions, and Requirements Elicitation by a Hybrid Method of Nat. MOHAMMAD-NAVID MASAHATI published this work as part of a team: Masahati, Mohammad Navid. Here is a description of this work: In Decision Support Systems (DSS) one of the most important types of input data for supporting the final decisions is textual data. However, in this era, there are significantly more volumes of textual content generated from various sources than could ever be processed, analyzed, and further used for decision-making. Moreover, most of the textual data sources produce unstructured content with no unified scheme, thus, making it even more difficult to automatically mine them for gold nuggets of information supporting pivotal data-supported decisions. One of the most widely used sources of textual content for mining public opinions and extracting subject-specific requirements is Twitter in which people publish over 500 million tweets on a daily basis. While this makes Twitter a great source of knowledge for public requirements and trends, Tweets.