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Abstract Interdisciplinary research institutes are widely implemented at research universities to support cross-disciplinary collaboration, but their impact on researchers’ collaboration networks may not be uniform. Variation in how academic departments are represented within an institute creates different opportunities for researchers to either broaden their networks or remain within their disciplinary boundaries.
Multiple words and sentences can be chosen to report a situation prevailing in any geographical unit of the world. Situations can be by and large reported positively, negatively or neutrally. This study proposes a deep neural network model (NSAM) for sentiment analysis of print media coverage of prevalent situation in any part of a country.
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