Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractIWRM has emerged as a popular ideology in the water sector since the 20 th century. From a highly technocentric approach in the past, it has taken a new turn worldwide, following a Habermasian communicative rationality, as a place-based nexus for multiple actors to consensually and communicatively take decisions in a hydrological unit. This communicative practice expects to be consensual, stable and static in integration of water management. This how IWRM should be approach had a remarkable appeal worldwide as promoting authentic participation of all stakeholders in integrating water management. Its Foucauldian critiques argue how IWRM cannot be achieved given the power dynamics in social interactions. The critiques reveal that the domain of water resources management is a discursive terrain of collective action, contestation and negotiation, making water management a socio-political process, where there are multiple forms and meanings of integration. The emphasis is on complexities, contextuality, power dynamics and importance of analysing real world situations, but without proposing any concrete actions. These apparently contradictory discourses depict a polarised world of water management, without offering any insights for future water resource management. On one hand, the Habermasian communicative practice emphasises on 'ideal speech situations', in which no affected party is excluded from discourse or by asymmetries of power for collective decisions. On the other hand, the Foucauldian theory argues for analysing the real world situation of integration and the power dynamics. A prospective option to further the integration of water resource management is to consider these apparently contradictory discourses as interdependent by examining how integration actually does take place in a strategic context, notwithstanding the absence of Habermasian conditions and the presence of Foucauldian relations of power.

With the fastest growth of information and communication technology (ICT), the availability of web content on social media platforms is increasing day by day. Sentiment analysis from online reviews drawing researchers’ attention from various organizations such as academics, government, and private industries. Sentiment analysis has been a hot research topic in Machine Learning (ML) and Natural Language Processing (NLP). Currently, Deep Learning (DL) techniques are implemented in sentiment analysis to get excellent results. This study proposed a hybrid convolutional neural network-long short-term memory (CNN-LSTM) model for sentiment analysis. Our proposed model is being applied with dropout, max pooling, and batch normalization to get results. Experimental analysis carried out on Airlinequality and Twitter airline sentiment datasets. We employed the Keras word embedding approach, which converts texts into vectors of numeric values, where similar words have small vector distances between them. We calculated various parameters, such as accuracy, precision, recall, and F1-measure, to measure the model’s performance. These parameters for the proposed model are better than the classical ML models in sentiment analysis. Our results analysis demonstrates that the proposed model outperforms with 91.3% accuracy in sentiment analysis.

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