Gain Deeper Insights with Sentiment Analysis
Understand Customer Sentiment to Drive Actionable Decisions
Introduction
Sentiment analysis is a powerful tool offered by Kommon Poll™ to help you decipher the emotions and opinions behind customer interactions. By analyzing text data from various sources, you can gain valuable insights into customer sentiments, enabling you to respond effectively, tailor your messaging, and enhance customer satisfaction.
Sentiment Polarity/Subjectivity
Determine whether text expresses positive, negative, or neutral sentiment and assess the degree of subjectivity.
Trends
Track sentiment trends over time to identify patterns and anticipate shifts in customer sentiment.
Omni-Channel Analysis
Analyze sentiment across multiple channels, including social media, review sites, and forums, for a comprehensive view of customer sentiment.
Omni-Channel Comparison
Compare sentiment across different channels to understand variations in customer sentiment and tailor your response strategies accordingly.
Trends by Platform
Identify sentiment trends specific to each platform to tailor your response strategies accordingly.
Entity/Aspect-Based Sentiment
Analyze sentiment related to specific entities or aspects of your brand, such as products, services, or marketing campaigns.
Identifying Key Negative Mentions
Automatically flag key negative mentions for immediate attention and response.
Identifying Key Negative Accounts
Identify accounts that frequently express negative sentiment to proactively address concerns and prevent reputational damage.
Demographic-Based Sentiments
Analyze sentiment based on demographic factors such as age, gender, location, and interests to personalize your messaging and engagement strategies.
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