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A New Hybrid Approach to Sentiment Classification

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Figure

Figure 2.1: Components of Sentiment. Analysis adapted from [98]
Figure 2.2: General Architecture of Lexical Approach Classification explainable results [11].
Figure 2.3: General Architecture of Machine Learning Approach Classification on logical operations, and/or binary operations that learn from a series of examples
Table 2.1: Overview of hybrid approaches
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Outline

Lexicons Features Existing Hybrid Approaches Levels of Granularity in Sentiment Analysis Lexicon-based Approach Error Analysis of Experiments General Machine Learning Approach Different Weighting Scheme Components of the system Lexicon Generation

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