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Titlebook: Topical Drifts in Intelligent Computing; Proceedings of Inter Jyotsna Kumar Mandal,Pao-Ann Hsiung,Rudra Sankar D Conference proceedings 202

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楼主: Awkward
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A Ternary Sentiment Classification of Bangla Text Data using Support Vector Machine and Random Forest Classifierthe processing of natural languages (NLP) with several applications in the business, education, and political sectors. Unlike other languages, the amount of research performed on opinion mining for Bangla text is very small. There is also a lack of proper NLP tools for Bangla text processing. To bri
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Third Wave Prediction Analysis for Kerala in Indiaeople to this pandemic till date. Most of the other countries have gone through the second wave, with some countries experiencing third and fourth waves. In such difficult times, there is a shortage of resources everywhere. Planning is the need of the hour, and all the countries are expanding their
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Comparative Study on Sentiment Analysis of Human Speech using DNN and CNNinput. The digitized sound is then fed into the proposed models, and the voice of every person is classified into discrete emotional characteristics by its pitch, intensity, timbre, speech rate, and pauses. In the proposed method, we have drawn a comparative study between sentiment analysis of human
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RNN-Based Deep Learning Model for Generating Caption of an Imagetelligent system an image, say of a dog running across a field to receive a statement back as “dog running across a field” or something similar down its lines. The image caption generator is a deep learning model built using the power of recurrent neural networks (RNNs) which are powered by the long
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Markerless Location-Based Augmented Reality Application for Showcasing Dealsy via a smart phone’s camera are discussed in this paper. The client–server design of this system is two-tiered. Initially, a deal should be recorded on our platform by an entity that is distinct from users. Deal Teal AR uses the camera view to overlay electronic data on areas around you in the curr
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Coronavirus Detection Using Computer Visionetection of the virus in early stages is extremely crucial for faster recovery in patients and curbing its spread as its nature is highly contagious. Although several techniques are present today for the detection of coronavirus, they are laborious in nature, costly, require experts from medical sci
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