Developing a tweet sentiment classification model

To develop a tweet sentiment classification model, we need labels for each tweet. However, getting labels that accurately reflect tweet sentiment is challenging. Let's take a look at some existing lexicons for sentiment classification and see why it isn't easy to get appropriate labels. With just five tweets, it isn't possible to develop a sentiment classification model. However, the idea here is to look at the process of arriving at an appropriate label for each tweet. This will help us appreciate the challenges involved in obtaining accurate labels. To automatically extract sentiment scores for each tweet, we will make use of the syuzhet package. We will also make use of commonly used lexicons ...

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