Sentiment Analysis is performed by splitting the text into individual entities such as phrases, words or sentences. After this, the related topic to each word is identified and the score is assigned. What is the Sentiment Analysis? In short, it helps identify the feelings of the customers using emoticons, texts or images. It helps data analysts to conduct market research, understand the reputation of a product, get public opinion, monitor their brand value and understand their customer experience. When used effectively, it can be used to analyze social media streams and gauge public opinion. It can help you gather information on different aspects of the business as shown below.
What is the Sentiment Analysis? Sentiment Analysis is simply gauging the feelings behind a piece of content or the attitude towards a piece of content whether it’s an article, comment or opinion. At the most basic level, sentiment-analysis tools classify pieces of text as positive, negative or neutral.
Types of Sentiment Analysis There are different types of sentiment analysis. And, each of it helps your business in a different way- some help you find the emotion, while some the intention of your customers. Each of these will help you get closer to your customers and help in increasing your return on investment.
1. Fine-Grained Sentiment Analysis This is not about bucketing the sentiments of your customers into positive, negative or neutral but ranking them with the level of positivity and negativity. There are 5 categories: Very positive
