Understand the underlying emotions within your data
Run sentiment analysis reports that uncover how your brand is perceived and what users truly care about.
Develop a powerful data-based strategy
It's often the case that companies only take the latest quantitative data into account to base decisions on, ignoring old data altogether or shying away from qualitative questions.
Datavid's sentiment analysis tools help you with qualitative "emotion" metrics to boost your market strategy.
You get to know the hidden sentiment for purchases and search intent which also provides an understanding of what makes you unique and where you lack in your customer’s eyes.
Assess your marketing campaigns
Do you know how your customer interacts with you?
The responses you get are a direct measure of how effective your marketing efforts are.
With Datavid’s sentiment analysis, you add a qualitative element to quantitative metrics like engagement, open rates, etc. This uncovers hidden insight into opinions and shared frustrations or beloved features.
Once you uncover this data, you can design better marketing campaigns that resonate with your customers. You end up increasing their trust and attracting new customers along the way.
Boost your customer experience
Turn the tides by converting any crisis to your advantage and knowing your competition better.
Datavid’s sentiment tools look closely at every interaction and resolve issues faster to improve customer satisfaction to provide exceptional customer service.
You can monitor, track, decode customers’ tone, attitude, and mood to focus on areas to reduce customer churn and gain competitive edge.
Customers have high expectations regarding service and experience.
The ability to comprehend and respond to customer emotions is essential in both acquiring and retaining customers.
Discovering emotions brings you valuable insights into operational issues, areas of excellence, customer satisfaction, and more.
Datavid’s sentiment analysis experts will help you with the necessary context to focus on by making you aware of customer feelings about your products and services.
Healthcare
Improve and optimise your healthcare services by mining sentiments out of patients’ feedback data. Datavid sentiment analysis tools will enable you to examine patients’ complaints and compliments recorded in the feedback forms. This will help you identify areas requiring immediate attention and create customised healthcare plans. By acting on the insights gained, you will achieve high operational efficiency and improved patient care and satisfaction.
Finance and banking
Measure sentiments to base your investment decisions.
Understand the actual sentiments of investors through Datavid sentiment analysis tools to monitor credit, net promotor score, customised customer offerings, and much more.
Make your traditional analysis more powerful by adding logarithmic analysis of free unstructured text in news, media, and financial statements.
Public sector
Use sentiment analysis to make citizens' lives better.
Implement Datavid’s AI-enabled sentiment analysis, to decode the sentiments of the citizens.
By extracting them well through online and offline sources, you act better to resolve citizens’ problems and create effective public policies.
Retail and e-commerce
Don’t let your customers go to the competition. Datavid’s sentiment analysis empowers you to connect with your customers on a deeper level. Get to know them well to serve well by filling in the gaps in your product or service offerings. Plan improvements by analysing well their opinions.
CASE STUDY
Developing a modern web app with a fast and effective react-based frontend
VetChef, a startup selling natural pet food, wanted a modern-looking web app to attract dog owners.
Datavid helped them design a compelling user interface and develop a React-based frontend for their "My VetChef" application, enabling them to go to market quickly with limited resources.
The focus was on fast and effective feature delivery.
Datavid's solution to VetChef's challenge was effective. It enabled VetChef to gain more than 1,000 qualified users in just a few months, implement value-added features and save 100 development hours.
Helping world-class firms make the most of their data
Your questions. Answered.
An example of sentiment analysis is analysing social media posts to determine whether they express positive, negative, or neutral sentiments about a particular product, brand, or topic.
NLP (Natural Language Processing) is used in sentiment analysis to process and analyse text data, identify sentiment-related patterns, and determine the sentiment (positive, negative, neutral) expressed in text. This involves techniques like text preprocessing, feature extraction, and machine learning algorithms to automate sentiment classification.
Another example of a sentiment analysis tool is a sentiment analysis API (Application Programming Interface) offered by companies like Google, IBM, or Amazon. These APIs allow developers to integrate sentiment analysis capabilities into their applications, making it easier to extract sentiment from text data programmatically.
Take your organisation's data practices to new heights
