Our Data Says What Your Audience Loves
Advanced sentiment analysis works together to protect your brand, analyze your audience opinions, and connect you with potential customers.
89% of companies across different sectors compete primarily based on customer experience. Customer experience is as important as the final product or service delivered.
To understand how your company battles the market and where it stands in consumer minds, customer satisfaction surveys have been the norm. But, imagine you can now know what your customers think about your brand, without using any surveys. Imagine getting to know unbiased reviews of your brand without nudging your customers. This is where sentiment analysis comes in.
Qualitative feedback given in the form of text can provide great insight into how people actually “feel” about your brand. However, screening through textual data manually is not feasible and can be impossibly time-consuming for businesses.
One solution to this problem? Sentiment analysis.
Have you ever left an online review about a brand or product or service online or written a review about your favorite movie? If your answer is Yes, then there’s a chance your responses have been through sentiment analysis.
Sentiment Analysis is a process of recognizing and categorizing a piece of text as per the tone conveyed by it. This text can be tweets, comments, feedback, and even random rants with positive, negative, and neutral sentiments associated with them. Sentiment analysis extracts the meaning from the text and a score is then applied based on the sentiment of the text.
This is done by mining unstructured text and reviewing data to evaluate human feelings about your product or service. By making use of natural language processing (NLP) and text analytics, sentiment analysis can help businesses get insights from changing customer behavior. Moreover, it’s less time and labor-intensive and affords scale across millions of data points.
The use of sentiment analysis in business cannot be overlooked. In today’s digital world, where data is overloaded, businesses might have heaps of customer feedback collected. It becomes impossible for humans to analyze these data and get insights without any bias.
Sentiment analysis can assist businesses in drawing insights from these data. Moreover, it’s less time and labor-intensive and affords scale across millions of data points.
Sentiment analysis can be used to enhance brand reputation by analyzing the web and social media profiles about a brand, product, or service.
Sentiment analysis helps in analyzing the competitors and their marketing efforts. In this way, the businesses can adjust their value proposition and hit all the right marks.
Businesses will be informed in real-time about the positive as well as negative reviews from the customers. Analyzing the sentiment of your customer feedback lets you learn your customers’ like and dislike. You can rectify all the errors and enhance the customer experience.
When businesses get to know what consumers like, dislike, or what their expectations are, they can conduct a market study to make better decisions.
Businesses can get real-time notifications about negative comments online. This helps them quickly react and solve the problems before it turns into a social media crisis.
Our sentiment analysis service helps you to better understand customers’ sentiments towards your brand, products, or services. No matter if you want us to analyze surveys or social media comments; we examine, evaluate, and classify them carefully based on your instructions.
The feedback within your survey responses is analyzed and given sentiment scores. The scores can help you address some of the more immediate concerns your customers have during their experiences.
We analyze the sentiments from the customer reviews – positive, negative, and neutral – and identify gaps and pain-points that may have not been addressed by the businesses.
We use advanced sentiment analysis tools to generate actionable insights from social media likes, comments, shares, and more. These data will help businesses create social media campaigns and strategies which will effectively boost the brand image and perception.
Automotive companies use platforms like social media to get customer feedback. This feedback can then be used to enhance marketing and advertising efforts.
Sentiment analysis helps insurance companies to automate recurring processes, by which they reduce the workload of the insurance agents.
Sentiment analysis helps banking and finance companies to analyze customer feedback, evaluate customer interactions, assess claims, and identify compliance risks.
In the retail sector sentiment analysis can help understand better operational enhancements, product quality improvements, competitive intelligence, and brand reputation threat.
In politics, sentiment analysis can be used to measure emotional beliefs on any topic. For example, a political party can analyze the positive or negative mentions about particular candidates.
Sentiment analysis in the eCommerce sector helps to analyze customer reviews and comments to enhance the experience for the customers.
We do sentiment analysis in multiple languages to understand the true sentiments of different groups of people around the world.
We offer the highest level of accuracy in analyzing the sentiments of different kinds of people with different mindset.
We possess expertise in analyzing sentiments on different platforms for all industrial sectors.