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Advantages And Disadvantages Of Sentiment Analysis

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1 Introduction Sentiment analysis also known as opinion mining is the process of determining the emotional tones behind a series of words, in recent years it has been receiving a lot of attention from researchers. This field has many interrelated sub problems rather than a single problem to solve, which makes this field more challenging. Sentiment classification task is performed for several reasons like to indicate the ups and downs of overall attitude of a brand or product, to pull out customer feedback on some topic or brand, to compare the attitude of one product with another. Sentiment analysis performed …show more content…

Sentiment classification technique can help researchers to identify first whether a text is subjective or objective and then to determine whether the subjective text contain positive or negative sentiments. There are mainly two approaches considered from previous sentiment classification studies, machine learning approach and lexicon based approach or semantic orientation approach [3, 8, 10]. Both approaches have their own advantages and disadvantages and here we discuss some related works with these methods as well as their combined …show more content…

But now, no lexicon could cover the whole words and its semantic orientation, because different words have different semantic orientation in different contexts. Therefore, machine learning approach was a great deal for sentiment classification problem. Machine learning method of sentiment classification can build more features and effectively change the dataset [5 ,9, 14]. Pang Bo et al [5] applied machine learning technique with statistical feature selection methods for the data of various field like product review and movie review. They claimed that Machine learning algorithm performed very well on sentiment classification. In Zha et al. [6] categorized the positive and negative opinions on the aspects from the pros and cons of the reviews. To determine the customer opinion in the context of free text reviews, they trained the classifier by pros and cons reviews. They evaluated the performances of three supervised classifiers SVM, NB, ME using the evaluation matrices F1-Measure, which defined as the harmonic mean of precision and recall. SentiView tool [12] used as an interactive visualization system and it focuses on analysis of public sentiments for popular topics on the Internet. Uncertainty modeling and model-driven adjustment is combined in SentiView, it mines and models the changes of the sentiment on

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