Human emotion is more complex than simple sentiment labels

Imentiv AI goes beyond positive, negative, and neutral sentiment labels. With detection across 32 distinct emotional dimensions, it gives you a deeper understanding of how people truly respond.

Core capabilities

32 Emotional dimensions

Detects 32 distinct emotional states across text, from curiosity, excitement, and approval to nervousness, annoyance, and disappointment. This richer emotional context helps you understand not just whether a response is positive or negative, but which emotions are driving it.

Understand nuanced human responses in text data.

Emotional tone and intensity

Visualize emotional movement across the entire interaction through continuous valence (positive/negative) and arousal (energy level) mapping. Detect shifts in emotional intensity while identifying the dominant emotions present at each stage of the interaction, helping you identify moments of frustration, satisfaction, uncertainty, or excitement throughout.

Know when emotional energy changes and what emotions are driving it.

THIS IS WHERE WE STAND APART

One way to go beyond statistics

Insights

The right answer, at the right moment.

Most text analysis tools give you labels or dashboards and leave the interpretation to you.

Insights lets you ask what you actually need to know, such as:

  • Where did frustration start building across responses?
  • Which messages show hesitation before conversion?
  • What emotional pattern repeats across customer reviews?

You get clear, narrative answers grounded in the data, with exact messages, moments, and patterns highlighted. The data does not change. How quickly it becomes useful does.

Insights · Demo
Where did frustration start building across conversations?
Frustration signals appear consistently at the second message across 73% of analyzed conversations. The trigger is typically unresolved wait time or missing information. Arousal spikes +0.4 before any agent response, suggesting early expectation mismatch.
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Built for teams turning text data into emotional intelligence at scale

Customer feedback & reviews

Analyze the emotional tone of customer reviews, support tickets, and survey responses at scale. Understand what genuinely frustrates or delights customers, beyond star ratings.

Sales & email intelligence

Read the emotional signals in email threads and chat transcripts. Identify hesitation, excitement, or resistance in buyer communication before a follow-up call.

Ad copy & content testing

Test messaging and creative copy for emotional resonance before launch. Know whether your words feel urgent, reassuring, exciting, or flat to your audience.

Research & survey analysis

Go beyond multiple choice. Analyze open-ended survey and interview responses for emotional undercurrents, recurring anxiety signals, or unspoken enthusiasm.

Social listening & brand health

Measure the real emotional tone of conversations around your brand across comments, forums, and posts, not just sentiment polarity, but the specific emotions driving it.

See how Imentiv AI fits your specific use case.

HOW IT WORKS

From conversations to emotional insights

01

Bring your text data together

Start by uploading the text you want to understand, whether it's customer feedback, interviews, surveys, support tickets, chat logs, or any other written content. Whether you're analyzing a single document or thousands of responses, getting started takes just a few clicks.

02

Let AI analyze every text

Once your text data is uploaded, Imentiv AI reads through it automatically. It understands the words’ meaning, interprets sentences and paragraphs in context, and identifies emotional cues throughout the text to reveal what people are genuinely expressing.

03

Explore the results

See how emotions evolve throughout each text and compare emotional trends across thousands of responses and quickly identify the moments that matter most. With the Insights feature, you can investigate recurring patterns, explore the reasons behind emotional shifts, and navigate directly to the supporting text.

04

Turn insights into better decisions

Export analysis results with your team or integrate emotional insights into your existing tools through our API. Use these insights to improve products, enhance customer experiences, strengthen research, and make more informed decisions.

Bring text emotion intelligence into your own platform

Whether you're building a chatbot, customer support tool, or custom application, the Imentiv Text Emotion API makes it easy to integrate text emotion intelligence directly into your product. Analyze text at scale and integrate emotion scores, valence-arousal metrics, and behavioral insights into your existing products and workflows.

View API documentation
text-analysis.py
# Analyze text emotions
import requests

response = requests.post("/v2/texts", headers={
    "Accept": "application/json",
    "Content-Type": "multipart/form-data",
    "referer": "",
    "X-API-KEY": ""
    },
data={
  "title": "",
  "text": "",
  "text_url": "",
  "callback_url": ""
  }
)

FAQ

Analyze Text

Discover emotional patterns that shape human response.

Analyze text