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Sentiment Analysis or opinion mining is an application of natural language processing(NLP) that detects subjective information such as attitude, emotions and feelings in text. Customer's view about a product, company, person, event or service is extracted and categorized using deep neural networks, machine learning and NLP techniques. Different emotions, like happy, sad, disgust, and frustration deciphered from sentiment analysis are classified into labels as positive, neutral and negative.

The increasing inexpensive Wireless Networking hardware has incorporated the mobility support into the existing Wired Networks that must support the data and real time application such as rescue operations, military, hospitals etc. Mobile Ad hoc networks (MANETs) play an important role in the deployment of future Wireless Communication Systems. These networks are required to provide efficient quality of service (QoS). To facilitate communication within the network, efficient routing algorithms are required to create, maintain and repair paths with a minimum overhead. Here we have discussed...