چکیده: (3725 مشاهده)
Nowadays, data are the food for the digital world. The main rich sources for data generated by social networks such as Twitter, Face book, Instagram, and LinkedIn. The data generated from micro-blogging services are plays a vital role in business intelligence like product reviews, movie reviews, election results prediction by social media data analysis. Sentiment analysis (SA) is the key method of predicting netizens emotions behind the text expressed in social media. The main motto of this survey to give complete idea about tools and the techniques used in Sentiment Analysis and the relevant fields with brief details.
نوع مطالعه:
پژوهشي |
موضوع مقاله:
زنجیره تامین و لجستیک دریافت: 1399/2/9 | پذیرش: 1399/2/9 | انتشار: 1399/2/9