Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Opinions in social media play such an important role for customers and companies that there is a growing tendency to post fake reviews in order to change purchase decisions and opinions.   propose the use of different features for a low dimension representation of opinions.  evaluate our proposal incorporating the features to a Support Vector Machines classifier and  use an available corpus with reviews of hotels in Chicago.  perform comparisons with previous works and  conclude that using our proposed features it is possible to obtain competitive results with a small amount of features for representing the data. Finally,  also investigate if the use of emotions can help to discriminate beten truthful and deceptive opinions as previous works show to happen for deception detection in text in general.
['Leticia Cagnina', 'Paolo Rosso']
I am writing a research paper on a idea Classification of deceptive opinions using a low dimensionality representation
[{"from": "human", "value": "I am writing a research paper on a idea Classification of deceptive opinions using a low dimensionality representation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Opinions in social media play such an important role for customers and companies that there is a growing tendency to post fake reviews in order to change purchase decisions and opinions.   propose the use of different features for a low dimension representation of opinions.  evaluate our proposal incorporating the features to a Support Vector Machines classifier and  use an available corpus with reviews of hotels in Chicago.  perform comparisons with previous works and  conclude that using our proposed features it is possible to obtain competitive results with a small amount of features for representing the data. Finally,  also investigate if the use of emotions can help to discriminate beten truthful and deceptive opinions as previous works show to happen for deception detection in text in general."}]