Gauging User Intent Understanding the Internet

Better Comprehension for Better Intelligence Analysing Sentiments


Sentiment Analysis at KarmaHub

Sentiment Analysis or Opinion Mining is the call of the day and the inherent complexity that lies in simple exchanges brings a whole new type of intelligence; emotional intelligence. The quality of user experiences depend on the accurate classification of sentiment and intent. KarmaHub works to ensure swift, actionable insights from multi-channel communications of all your stakeholders, right from your customers, partners and the workforce.

The competitive era that exists across industry verticals globally has led to a multitude of input channels where customer opinions are captured. These could include, online or offline surveys, blogs, social media chatter, company feedback forums, and inputs collected as part of marketing drives. Sentiment Analysis is a congregation of large number of underlying technologies, such as Natural Language Processing (NLP), biometrics, computational linguistics and so on with the aim of collecting & analysing the emotions in the correct context.

Applications

The KarmaHub Sentiment Analysis service helps understand the emotional tone of your customers & users captured through various channels. We help you comprehend opinions, emotions and attitudes expressed on online and social media platforms in capturing and put to these to modern day uses.

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Chatbots

  • Sentiment Analysis play a pivotal role in shaping conversational experiences, and a chatbot is the most common application of machine learning technology we have today. Users are as likely as to share their emotions & feelings with a chatbot as they could possibly do with a human being, and sentiment analysis has a key role to play to ensure the responses are somewhat tailored to engage the user.

Brands & Products

Brand Monitoring
  • Brands have a clear outlook on user perception when it comes to their product portfolio, new launches or even a specific service or commodity. Companies have setup dedicated departments within IT on how to best tap social media sentiments and convert the same into actionable items for business.
UX / UI Design & Product Marketing
  • Sentiment Analysis prove to be an effective indicator to validate if users are pleased with the new interface or design launched by an organization for their products. Sentiment analysis can prove to be a differentiator to collect user opinions on design remodelling, which is vital for brands to survive today.
Market Research & Product Reviews
  • Brands determine why users are not responding to a particular campaign, or why their product is not getting picked up from the shelves. Companies also determine what user thinks of the complete lifecycle of the product right from purchase up to warranty support.

Fraud Predictions

  • Sentiment analysis help analyze user behaviors to help predict probable fraudulent behavior.

Employee Sentiment Analysis

  • Sentiment Analysis help build behavioral profiles of an individual by analyzing the feedback and opinions of the employees. This results in a lot of actionable insights for the Human Resources teams and also the management to play a vital role in determining what would result in employee motivation.

Customer Support

  • L1 Support, IT Helpdesk or any form of Customer Support make extensive use of Sentiment Analysis. Applications of this technology could be as simple as classifying emails into urgent or non-urgent, as well as identifying the frustration level of users.