Sentiment Analysis
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.

Social Media Monitoring

Chennai's dynamic social media landscape is a treasure trove of opinions and conversations. Sentiment analysis tools thrive in tracking platforms such as Facebook, Twitter, and Instagram, providing businesses with real-time insights into how their brand is being perceived and talked about online.

Customer Feedback Analysis

Businesses in Chennai recognize the value of customer satisfaction. Sentiment analysis services thoroughly analyze customer feedback, reviews, and surveys, helping businesses pinpoint areas for improvement, resolve issues, and elevate the overall customer experience.


Brand Reputation Management

In Chennai’s competitive market, preserving a positive brand image is crucial. Sentiment analysis services support brand reputation management by monitoring mentions, reviews, and sentiment trends. This proactive strategy enables businesses to quickly address potential PR challenges and uphold a strong public image.

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.

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Let’s have a closer look at how sentiment analysis can be of benefit to businesses.

Brand Reputation Management

Sentiment analysis can be used to enhance brand reputation by analyzing the web and social media profiles about a brand, product, or service.

Gain competitive advantage

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.

Enhance customer experience

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.

Crisis Prevention

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.

Informed Decision Making

When businesses get to know what consumers like, dislike, or what their expectations are, they can conduct a market study to make better decisions.

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.

Text Analysis for Surveys

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.

Text Analysis for Customer Reviews

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.

Text Analysis for Social Media

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

Automotive companies use platforms like social media to get customer feedback. This feedback can then be used to enhance marketing and advertising efforts.

Insurance Companies

Sentiment analysis helps insurance companies to automate recurring processes, by which they reduce the workload of the insurance agents.

Banking and Finance

Sentiment analysis helps banking and finance companies to analyze customer feedback, evaluate customer interactions, assess claims, and identify compliance risks.

Retail

In the retail sector sentiment analysis can help understand better operational enhancements, product quality improvements, competitive intelligence, and brand reputation threat.

Politics

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.

Commerce

Sentiment analysis in the eCommerce sector helps to analyze customer reviews and comments to enhance the experience for the customers.

Multilingual

We do sentiment analysis in multiple languages to understand the true sentiments of different groups of people around the world.

High Accuracy

We offer the highest level of accuracy in analyzing the sentiments of different kinds of people with different mindset.

Expertise

We possess expertise in analyzing sentiments on different platforms for all industrial sectors.

Case Study

Data Analysis

Data analyzed to understand word cloud on negative reviews.

Data Analysis

Analysis for ASDA, UK-Jan 2022 .

In total of 18k reviews for location Lowestoft about we got about 15k negative reviews, which might affect our sales. Analyzing these negative reviews helps us understand what are we missing.

Data Analysis

Data analysis was done to understand the market trends and requirements for Insurance companies all over the globe.
Populated a list of Insurance Companies
their Insurance Products, Insurance Prices, and a comparison study for the same.

Sentiment Analysis

We analysed the sentiment of people in specific regions of India, by using the data online and by creating a survey for the same on social media platforms such as Instagram, Facebook, etc.
One such result is shown here. In the image.

Sentiment Analysis

Automated response management & Online reputation management.

Bajaj was concerned to stay connected to its audience for building its online reputation but Being a huge brand Bajaj with multiple branches across the world it needed to do an automated chatbot in multiple languages on several social media platforms, this was the result of analysis by rankraze.