Nowadays, digital world is occupied with numerous social networking websites that the enterprises use post their ads and build a strong online presence. The sole objective of the engaged marketers and research analysts in these companies is to increase the buying motivation of massive internet savvy shoppers and steer an impulse to purchase their products. While opinion mining extricates the guest's opinions, sentiment analysis helps in identifying the core sentiments of the guests that they have expressed in the form of a comment or re-tweet. Sentiment Analysis in Business Intelligence
Sentiment analysis is in high demand for its greater efficiency in handling the text documents for entity behavior analytics. On account of its capability to deliver accurate results for natural language processing, businesses are incorporating text sentiment analysis into their routine processes. Many big companies who are compassionate to score high in influence attribution are using this powerful gauging tool to improve their business intelligence in finance, healthcare, SaaS, big data and IoT.
Sentiment Analysis in Social Media Marketing: Text sentiment analysis in market surveys, social media monitoring, twitter hash tag and RSS feed analysis; is oriented towards extracting the opinions, looking out for the sentiments expressed in the text and then classifying the grapple between opinions to detect the ratio of polarity. Many travel booking companies and luxury hoteliers have adopted this mechanism to boost the magnitude of their website reviews and generate higher revenues by driving more direct customers to avail their services. See Also Software SAS Marketing Analytics SAS Customer Intelligence 360 NetSuite SuiteCommerce Advanced