title,doi,url,abstract,journal,publication_year,pmid,arxiv
A Survey On Opinion Mining and Sentiment Analysis Using R -  Programming, https://doi.org/10.32628/IJSRCSEIT, https://ijsrcseit.com/CSEIT183777, An important part  of our  information-gathering behavior  has  always been to find out what other people think.  With the growing availability and  popularity of opinion-rich  resources  such  as  online  review  sites and  personal  blogs new opportunities and  challenges  arise  as people now can and do actively use information technologies to seek out and understand the  opinions of others. Sentiment analysis (also known as opinion mining) refers to the use of natural language processing (NLP) text analysis and computational linguistics to identify and extract subjective information from the source materials .The  sudden  eruption  of activity in the  area  of opinion  mining  and  sentiment analysis  which  deals  with the  computational treatment of opinion  sentiment and  subjectivity in text  has thus  occurred  at  least  in part  as a direct  response  to the surge of interest in new systems  that deal directly  with  opinions as a first-class object. Generally speaking sentiment analysis aims to determine the attitude of a writer or a speaker with respect to a specific topic or the overall contextual polarity of a document. Globally business enterprises can leverage opinion polarity and sentiment topic recognition to gain deeper understanding of the drivers and the overall scope. Subsequently these insights can advance competitive intelligence and improve customer service thereby creating a better brand image and providing a competitive edge., International Journal of Scientific Research in Computer Science Engineering and Information Technology, 2018, CSEIT183777