Introduction
Also known as opinion mining, sentiment analysis is a vital business intelligence tool. So why is it an essential tool? It enables companies to enhance their services and products, increasing sales and profits.
And what is more? Sentiment analysis allows companies to grow and expand to new markets. So what is sentiment analysis? And what benefits does it offer? Keep reading to find out more.
What is Sentiment Analysis?
Sentiment analysis involves analysing digital text to know whether the emotional tone of the content is neutral, negative or positive. Organisations have huge volumes of text information such as user reviews, social media comments, customer care chat transcripts, and emails.
Sentiment analysis systems can scan any text content to determine the attitude of the source towards a given topic. Organisations use insights from the sentiment analysis process to increase brand reputation and improve customer service.
Sentiment analysis is a popular way for businesses to determine, analyse and categorise opinions about an idea, a service or a product. The sentiment analysis process involves the use of artificial intelligence, computational linguistics, machine learning and data mining.
These technologies allow sentiment analysis systems to excavate text for subjective and sentiment information, including whether it’s expressing neutral, negative or positive feelings.
How Does a Sentiment Analysis System Work?
A sentiment analysis system allows organisations to collect insights into the real-time brand reputation, customer experience and sentiment.
Generally, it uses text analytics to analyse different digital sources, including forums and comments, tweets and web chats, case studies and survey responses, news articles and customer support tickets, online reviews and blog posts, and emails and social media chats.
The system then uses algorithms to implement rule-based hybrid or automatic scoring methods whether the consumer is expressing neutral, negative or positive words/statements.
Apart from identifying sentiment, a good sentiment analysis solution can extract the amount or popularity of negativity or positivity and the opinion or subject holder within a given text.
With this approach, organisations can analyse different sections of a text, including a sub-sentence, a sentence, a paragraph or a full document.
Benefits of Sentiment Analysis
Analysing consumer feedback, such as social media comments, live chat conversations, survey opinion responses, and emails, enables brands to discover what makes their customers frustrated or happy.
By doing so, they can enhance their services and products to meet the unique needs and requirements of different consumers. Extra benefits of sentiment analysis are sorting data scale, real-time analysis of data and consistent criteria.
Is Sentiment Analysis Valuable?
For your business to succeed, you need to understand how the marketplace receives your services or products. Also, you need to know what customers think and say about your products and services.
With a cutting-edge sentiment analysis system, you can easily tell how consumers feel about your brand, business, products and services. This knowledge can help you develop effective sales strategies that consider customer sentiment. Sentiment analysis is a natural language processing (NLP) technique that involves the identification and extraction of subjective information from textual data.
