Sentiment

Beyond Basic Positive

Beyond Basic

Positive and

and Negative

Negative

IntuView’s sentiment analysis redefines text interpretation—going beyond simplistic word-based approaches to capture who feels it, toward what, and with what nuance.

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Accuracy

Ontologies disambiguate ambiguous words and map them to the correct concept, ensuring precise sentiment interpretation.

Accuracy

Ontologies disambiguate ambiguous words and map them to the correct concept, ensuring precise sentiment interpretation.

Accuracy

Ontologies disambiguate ambiguous words and map them to the correct concept, ensuring precise sentiment interpretation.

Accuracy

Ontologies disambiguate ambiguous words and map them to the correct concept, ensuring precise sentiment interpretation.

Context

Captures relationships, attributes, and cultural nuance, allowing the system to understand not just what was said, but how and why.

Context

Captures relationships, attributes, and cultural nuance, allowing the system to understand not just what was said, but how and why.

Context

Captures relationships, attributes, and cultural nuance, allowing the system to understand not just what was said, but how and why.

Context

Captures relationships, attributes, and cultural nuance, allowing the system to understand not just what was said, but how and why.

Actionability

Transforms sentiment into reliable, structured insights that organizations can act on with confidence.

Actionability

Transforms sentiment into reliable, structured insights that organizations can act on with confidence.

Actionability

Transforms sentiment into reliable, structured insights that organizations can act on with confidence.

Actionability

Transforms sentiment into reliable, structured insights that organizations can act on with confidence.

Limitations of Generic Tools

Generic Sentiment

Generic

Falls Short

Sentiment Falls

Short

Why Traditional Sentiment Fails

Most tools just flag words as “positive” or “negative.” They capture extremes (awful, marvelous) but miss meaning tied to domain, culture, or author context.

Challenge

Oversimplified Labels

Oversimplified

Labels Miss

Miss Nuance

Nuance

The Problem with “Positive” or “Negative” Labels

Labels like “positive” or “negative” ignore detail. Smart may mean intelligent or stylish, corrupt may mean dishonest or damaged — context changes everything.

Ontological Depth

Sentiment With

Precision and Context

Precision and

Context

This is where IntuView makes the difference — using ontologies and cultural context to decode sentiment with unmatched accuracy and extract detailed dimensions:

Holder Identified

Detects who is expressing the sentiment, whether it’s an individual, group, or organization, and links it back to the correct entity for accurate attribution.

Holder Identified

Detects who is expressing the sentiment, whether it’s an individual, group, or organization, and links it back to the correct entity for accurate attribution.

Holder Identified

Detects who is expressing the sentiment, whether it’s an individual, group, or organization, and links it back to the correct entity for accurate attribution.

Holder Identified

Detects who is expressing the sentiment, whether it’s an individual, group, or organization, and links it back to the correct entity for accurate attribution.

Target Recognition

Pinpoints toward whom or what the sentiment is directed — such as a person, product, policy, or event — for precise context.

Target Recognition

Pinpoints toward whom or what the sentiment is directed — such as a person, product, policy, or event — for precise context.

Target Recognition

Pinpoints toward whom or what the sentiment is directed — such as a person, product, policy, or event — for precise context.

Target Recognition

Pinpoints toward whom or what the sentiment is directed — such as a person, product, policy, or event — for precise context.

Attribute-Level Clarity

Determines the exact attribute being judged, such as honesty, intelligence, or effectiveness, instead of just tagging the overall sentiment.

Attribute-Level Clarity

Determines the exact attribute being judged, such as honesty, intelligence, or effectiveness, instead of just tagging the overall sentiment.

Attribute-Level Clarity

Determines the exact attribute being judged, such as honesty, intelligence, or effectiveness, instead of just tagging the overall sentiment.

Attribute-Level Clarity

Determines the exact attribute being judged, such as honesty, intelligence, or effectiveness, instead of just tagging the overall sentiment.

Sentiment Intensity

Measures the strength of the sentiment, from mild impressions to strong attitudes, capturing the nuance that basic polarity misses.

Sentiment Intensity

Measures the strength of the sentiment, from mild impressions to strong attitudes, capturing the nuance that basic polarity misses.

Sentiment Intensity

Measures the strength of the sentiment, from mild impressions to strong attitudes, capturing the nuance that basic polarity misses.

Sentiment Intensity

Measures the strength of the sentiment, from mild impressions to strong attitudes, capturing the nuance that basic polarity misses.

Aggregate Insight

Combines multiple viewpoints across texts to assess collective sentiment toward an entity, trend, or issue at scale.

Aggregate Insight

Combines multiple viewpoints across texts to assess collective sentiment toward an entity, trend, or issue at scale.

Aggregate Insight

Combines multiple viewpoints across texts to assess collective sentiment toward an entity, trend, or issue at scale.

Aggregate Insight

Combines multiple viewpoints across texts to assess collective sentiment toward an entity, trend, or issue at scale.

Implicit Sentiment

Infers hidden or indirect sentiment toward related “parent” entities, even when they are not explicitly mentioned in the text.

Implicit Sentiment

Infers hidden or indirect sentiment toward related “parent” entities, even when they are not explicitly mentioned in the text.

Implicit Sentiment

Infers hidden or indirect sentiment toward related “parent” entities, even when they are not explicitly mentioned in the text.

Implicit Sentiment

Infers hidden or indirect sentiment toward related “parent” entities, even when they are not explicitly mentioned in the text.

Discourse Context

Identifies the theme or frame in which a sentiment occurs — for example political debate, cultural commentary, or product review — adding deeper interpretive value.

Discourse Context

Identifies the theme or frame in which a sentiment occurs — for example political debate, cultural commentary, or product review — adding deeper interpretive value.

Discourse Context

Identifies the theme or frame in which a sentiment occurs — for example political debate, cultural commentary, or product review — adding deeper interpretive value.

Discourse Context

Identifies the theme or frame in which a sentiment occurs — for example political debate, cultural commentary, or product review — adding deeper interpretive value.

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Every Piece of Data

is a Unique Opportunity

Ready to elevate your intelligence capabilities? Join us to transform complex, multilingual data into clear, actionable knowledge with the power of Artificial Intuition.

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Join Us Now

Every Piece of Data

is a Unique Opportunity

Ready to elevate your intelligence capabilities? Join us to transform complex, multilingual data into clear, actionable knowledge with the power of Artificial Intuition.

Book a Demo

Join Us Now

Every Piece of Data

is a Unique

Opportunity

Ready to elevate your intelligence capabilities? Join us to transform complex, multilingual data into clear, actionable knowledge with the power of Artificial Intuition.

Book a Demo

Join Us Now

Every Piece of Data

is a Unique Opportunity

Ready to elevate your intelligence capabilities? Join us to transform complex, multilingual data into clear, actionable knowledge with the power of Artificial Intuition.

Book a Demo