Extract Aspect Based Sentiment

Unlock Insights with Aspect-Based Sentiment Analysis

Get deeper insights into your data quickly and easily with Extract Aspect Based Sentiment. Automatically determine the aspects and sentiment for any text field in your dataset, so you can make smarter decisions faster. Try it out today!
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Enabling AI for the world’s best, from startups to publicly listed.

Uncovering sentiment insights.

Discover the impact of sentiment for individual aspects in your dataset with Extract Aspect Based Sentiment!

Designed for every team

Uncover the emotional sentiment of your customers by extracting aspects from text fields and analyzing them for sentiment!

Benefit from the insights of Extract Aspect Based Sentiment and make informed decisions to improve customer experience, increase customer satisfaction and grow your business!

Start using Extract Aspect Based Sentiment today to get the insights needed to drive your business forward!

Bring your data to life. Start free.

With Relevance AI
Improved accuracy in sentiment analysis: Extract Aspect Based Sentiment allows for more accurate sentiment analysis because it can identify the sentiment of a specific aspect in a text field. This allows for more accurate insights into customer sentiment.
Time-saving: By using Extract Aspect Based Sentiment, businesses can speed up the sentiment analysis process and save valuable time by automating the process.
Improved customer experience: By using Extract Aspect Based Sentiment to identify aspects and sentiment, businesses can gain valuable insights into customer sentiment. This can then be used to make more informed decisions about customer experience
Without Relevance AI
Improved accuracy in sentiment analysis: Extract Aspect Based Sentiment allows for more accurate sentiment analysis because it can identify the sentiment of a specific aspect in a text field. This allows for more accurate insights into customer sentiment.
Time-consuming: Without Extract Aspect Based Sentiment, businesses would need to manually analyze the sentiment of each text field, which is a time-consuming process.
Poor customer experience: Without Extract Aspect Based Sentiment, businesses cannot accurately determine customer sentiment. This could lead to poor decisions about customer experience, resulting in a poor customer experience.

Example use cases

Aspect-based sentiment analysis.

Use Case 1: Customer reviews: Extract aspect based sentiment from customer reviews to quickly understand customer sentiment towards a product or service.

Analyze social media sentiment.

Use Case 2: Social media: Use the workflow to quickly identify sentiment and aspects of conversations on social media platforms.

Analyze customer sentiment of products.

Use Case 3: eCommerce: Extract sentiment and aspects of product descriptions to better understand how customers are reacting to products.

Analyzing news sentiment.

Use Case 4: News Articles: Utilize the workflow to quickly analyze sentiment and aspects of news articles to get a better understanding of industry trends.

Unlock Insights with Aspect-Based Sentiment Analysis

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