What is a sentiment analysis?

Why sentiment analysis is valuable, and why brands should use it?

Happiness. Sadness. Nostalgia. Optimism. Satisfaction. 

These feelings and more are examples of the sentiments we all have. They play an important role in discovering how your consumer thinks about your brand and what you should do about it.

You might be thinking, what exactly is sentiment analysis?

Sentiment analysis a method of discovering the emotional tone behind the words used by consumers online. This could be on social media, on review sites, or any other such platform. 

This contextual mining of text is an important way to gauge whether consumers feel positive, negative, or are neutral about the key aspects of a brand. It’s a valuable source of insight into a consumers’ attitude. 

A deeper dive into types of sentiment analysis

Sentiment analysis is a broad, overall term. Because human sentiments are complex and nuanced, there are various ways of analyzing them. 

Various types of sentiment analysis offer precise insights.

Here are a few that are widely used-

Emotion-based sentiments

Emotional analysis is inclusive and considers a range of moods. It is based on a wide spectrum and not just a few static categories. For example, a positive sentiment can be broken down into specific emotions like happiness, satisfaction, or excitement, depending on the configuration. 

Aspect-based sentiments

Here, aspects of a text are analyzed to determine the corresponding sentiment. Typically, the aspects are attributes or components of the brand. This is a great technique to understand consumer experiences as well as expectations. At every point of contact, their opinions can be mined to discover ways to improve customer experience.

Fine-grained sentiments

This is a more precise analysis. It provides gradation of opinion for an optimal response. For example, instead of simply positive sentiment, neutral sentiment, or negative sentiment, one can further break it up into very positive, positive, neutral, negative, and very negative. Such meticulous analysis allows for fine-tuned responses.

Intent-based sentiments

Intent analysis is another technique that provides deeper scrutiny of customer sentiment. Here, the comments and texts are aggregated and analyzed to discover whether they are complaints, suggestions, queries, etc. Doing this helps one accurately understand consumers’ reactions to a product or service.

Multi language-based sentiments

image for languages based sentiments
Types of Languages Spoken

Increasingly, it’s not only English but other languages that are being used on the Internet. Whether in the United States or any other country. Customer sentiments are very often language-dependent, and it’s clearly important to have a framework for various languages. For the number of consumers who express themselves in more than one language, such multilingual sentiment analysis is very helpful.

The Tatvam rating and actionable insights

At Tatvam, we help you listen to your customers better. 

We have a unique rating system called the ‘Tatvam rating‘, which is aimed at enabling customer sentiment monitoring with considerable precision. 

This means that the Tatvam rating is the right sentiment analysis tool to decipher, measure, and report feedback.

Sophisticated and advanced sentiment analyzers process and store large amounts of data. These are then transformed into actionable insights. 

Because the one sentiment we want to leave you and your consumers with is happiness.

Looking for more information on how can Tatvam help you for your online reputation management?

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