Sentiment Analysis Services
We analyze sentiments of user generated content to assist businesses and commercial setups in understanding the opinions, feelings, viewpoints, thought processes, and perspectives of individuals, communities, religious groups towards a brand, product, or service. Accurately labeled data ensures success of a sentiment analysis system as best results are achieved using deep learning and big data.
Core Capabilities
Advanced technology built for enterprise scale.
Data Labeling
We use labels for determining the sentiment of text (positive, negative, or neutral). We label customer sentiments hidden in textual and audio data to identify whom the sentiments are directed at to serve as the basis for a sentiment analysis machine learning model.
Expressive-subjective Tagging
A method of tagging texts based on expressive-subjective sentiment involving specialized text-mining techniques and NLP. This method provides insight into important customer feedback for developing a sentiment analysis model.
Direct-subjective Tagging
A quick and easy way to determine the overall text sentiment analysis. By using a set of pre-defined rules, it is able to classify the sentiment of a given text as either positive, negative, or neutral.
Objective-speech-event Tagging
Audio streams can be classified and identified using objective-speech-event tagging. AI sentiment analysis algorithms can find the sentiment of text, audio, and video streams to identify positive and negative speech events.
Proven Applications
See how industry leaders are leveraging our solutions in production environments.
Discuss Your Use Case
Customer Service
When businesses analyze the sentiments of their customers, they can figure out whether or not they are experiencing any issues with their products or services. Factors contributing to negative emotions are identified and eliminated.
Improve Product & Service Quality
By analyzing sentiment, businesses are able to identify vulnerabilities, issues, and glitches plaguing their products, in addition to capturing complaints. As a result, businesses can improve quality by fixing these issues.
Enhance Marketing Strategies
A sentiment analysis tool can provide businesses with valuable insights into developing effective marketing strategies. Customer conversations about the brand can be used to create specific marketing campaigns for the target audience.
Establish Communication Channels that Work
It is possible for brands to receive more comments on Twitter than on Facebook. Through the analysis of customer sentiment, businesses can make necessary changes to how they engage customers on a variety of platforms.
Tracking Brand Reputation
Preventing negative issues from negatively affecting your business begins with keeping an eye on your online reputation. Companies can get an accurate picture of their brand reputation by tracking what customers say about their company online.