Sentiment Analysis Dashboard

You need a unique visualisation platform to present your sentiment analysis data’s insights to take advantage of them. You require a tool that can provide an in-depth, comprehensive understanding of how consumers evaluate various facets of your business. This detailed information is possible with aspect-based sentiment analysis (ABSA).

You can enhance regions that require assistance and invest in areas that will yield a higher return on your investment with ABSA. Your engineering, marketing, and finance departments can all benefit greatly from seeing trends and patterns emerge from your excellent data.

Why choose our sentiment analysis dashboard?

Unlock the power of customer feedback with our sentiment analysis dashboard. Leverage advanced natural language processing (NLP) and text analysis techniques to gain deep insights into customer sentiments from reviews and feedback.

Monitor and analyze customer opinions with ease, empowering you to extract sentiment from reviews, including sentiments about specific topics and entities. Enhance products, services, and overall customer experiences by staying attuned to customer sentiments. Choose our sentiment analysis template for actionable sentiment insights and data-driven decision-making.

What insights does our customer sentiment dashboard show?

Designed to provide comprehensive insights into customer sentiment across various platforms, including Google, Amazon, and Travel websites, this powerful tool revolutionizes the way businesses analyze and understand customer feedback.

1. Overall Sentiment Analysis: The customer sentiment dashboard calculates the overall sentiment of the reviews, providing a high-level view of the general customer sentiment towards your brand.
2. Aspects Analysis: Our aspect-based sentiment analysis dashboard extracts key topics from reviews, categorizing them by product features, customer service, pricing, or delivery. This reveals which aspects are most praised or criticized.
3. Entity Breakdown: We highlight crucial entities in reviews, such as brand names, product names, and locations. This provides valuable insights into brand perception and areas that require attention.
4. Sentiment Scores: The dashboard displays sentiment scores for each review, ranging from positive to negative sentiment. The scores are generated through natural language processing (NLP) techniques, enabling us to categorize the reviews based on their emotional tone.
5. Sentiment Trends: A graphical representation of sentiment trends over time allows you to identify patterns and spot any shifts in customer sentiment. This information helps in understanding the impact of marketing campaigns, product launches, or any other relevant events.

Decision-makers can only use sentiment analysis insights to create smart business and operational plans once they can understand and apply them to such dense and varied data.