Computer Science

Semantic Sentiment Analysis Based On Probabilistic Graphical Models And Recurrent Neural Networks

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Chapter One

1.0 INTRODUCTION
This chapter introduces the Semantic Sentiment Analysis Based On Probabilistic Graphical Models And Recurrent Neural Networks and its relevance, states the research problems, research questions, and objectives, provides a background of the study, and should also include the research hypothesis.

Chapter Two

2.0 LITERATURE REVIEW
2.1 Introduction
The chapter presents a review of related literature that supports the current research on the Semantic Sentiment Analysis Based On Probabilistic Graphical Models And Recurrent Neural Networks, systematically identifying documents with relevant analyzed information to help the researcher understand existing knowledge, identify gaps, and outline research strategies, procedures, instruments, and their outcomes…

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