Sentiment Analysis

We at Innova help large enterprises gauge public opinion, conduct nuanced market research, monitor brand and product reputation, and understand customer experiences.

 

Why is sentiment analysis is important?

Scalability

Can you imagine manually sorting through thousands of tweets, customer support conversations, or customer reviews? There’s just too copious data to process manually.

At Innova our Sentiment analysis allows to process data at scale in an efficient and cost-effective way.

Real-time analysis

We at Innova use sentiment analysis to identify critical information that allows situational awareness during specific scenarios in real-time. A sentiment analysis system can help you immediately identify these kinds of situations and act.

Consistent criteria

Humans don’t observe clear criteria for evaluating the sentiment of a piece of text. It’s estimated that different people only agree around 60-65% of the times when judging the sentiment for a piece of text. It’s a subjective task which is heavily influenced by personal experiences, thoughts, and beliefs.

By using our centralized sentiment analysis system, companies can apply the same criteria to all their data. This helps to reduce errors and improve data consistency.

Sentiment Analysis Algorithms

There are many methods and algorithms to implement sentiment analysis systems, which can be classified as:
  • Rule-based systems that perform sentiment analysis based on a set of manually crafted rules.
  • Automatic systems that rely on machine learning techniques to learn from data.
  • Hybrid systems that combine both rules based and automatic approaches.

Specifically, we’ll examine the use of sentiment analysis in the following:

  • Social media monitoring
  • Brand monitoring
  • Voice of customer (VoC)
  • Customer service
  • Workforce analytics and voice of employee
  • Product analytics
  • Market research and analysis

To learn more about Sentiment Analysis for your business: Contact us today to request a live demo!