Sentiment Analysis refers to analyzing text, speech, or online content to determine the emotional tone or sentiment behind it, the content and text. Many people commonly use sentiment analysis to have an idea of public perception as positive, negative, or neutral in their brand reputation management.
Key Aspects of Sentiment Analysis:
- Natural Language Processing (NLP) – This technology allows AI to analyze text and extract sentiment behind the content.
- Social Media & Review Monitoring – Monitoring customer reviews, comments, and mentions on the social media and more.
- Brand Reputation Insights – Brand Reputation Insights help identify potential trends and reputation risks..
- Competitive Analysis – Comparing sentiment trends with industry competitors.
Sentiment Analysis helps businesses and individuals understand audience opinions, improve engagement strategies, and proactively manage their online reputation.
