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Detecting Opinions or sentimental from text Using Deep Syntactic Analysis

The project needs to get implemented in c#. There is one user interface named as problem window. The problem window merely states a question “write the summary of the chapter you learned”. Learner types their explanation (Paragraph long) into the essay window, then click the submit button. the tutor uses deep syntactic analysis and abductive theorem proving to convert the learner essay to a proof. The proof formalizes not only what was said, but the likely beliefs behind what was said. This allows the system to recognize the misconception. Then it highlights the incorrect responses and then corrects that essay.

Habilidades: Algoritmo, Programação C, Programação C#, Programação C++ , Research Writing

Veja mais: fake news detection algorithm, bilstm, stanford sentiment treebank dataset, fake news dataset, liar dataset, sentiment analysis using deep learning, sentence sentiment analysis, deception detection for news three types of fakes, R,machine learning,statistical modelling,predictive analysis,data analysis,speech,image recognition,deep neural network, Looking For a Person With a Deep Understanding On Technical Analysis, syntactic analysis scheme, real analysis tutor, analysis deep excavations clay, sentimental analysis, php sentimental analysis

Acerca do Empregador:
( 1 comentário ) Dehradun, India

ID do Projeto: #16058695

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Hello! I want to work for your project. I'm very interested in your project. I'd like you to call me on chat. Please give me your project detail. In fact, you can believe that I'm a professional programmer in this fie Mais

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Hi! My name is Ihor, I will be glad to help you. I have strong experience in C# Java and Android development for 4+ years. Feel free to contact me any time so we can discuss details.

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donner moi une chance et vous ne serez pas decourager de mon travail Relevant Skills and Experience Je viens de m'inscrire sur cet site et votre projet m'as interressé.je mettrai tout les moyens possibles pour reussir Mais

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