Abstract:
"
Predict the rankings for the tea using the valuation comments is a part of sentiment
analysis, this is the task of using natural language processing to determine whether a
piece of text contains some subjective information and what kind of subjective
information it represents, that is, whether the text's attitude is positive or negative. The
task may be done at different stages, such as classifying the polarity of individual
words, sentences, or whole texts. It has been one of the most active research areas in
natural language processing and text analysis in recent years. Second, it poses several
challenging research problems. Because of its significance to industry and society, the
research has expanded beyond computer science to include management and social
sciences.
The research aim is to predict the rating systems to tea gradings using the valuation
comments. Many previously used machine learning approaches were explored to gain
a basic understanding of how to do sentiment analysis from the bottom up, mostly for
English and other native languages."
