Textrics
Textrics

Textrics

Optimize the emotional analysis of texts.

Categories

AI detection
Data analysis
Social networks
Communication
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Description

This artificial intelligence makes it possible to analyze texts using advanced technologies for optimized precision in the detection of emotions, the analysis of feelings and the recognition of named entities. Through a suite of textual analysis, Textrics deciphers textual data from various sources such as social networks, online forums, or surveys, and determines intent with remarkable accuracy. Thanks to its user-friendly framework, this software allows users to customize the model according to the specificities of their industry. With Textrics, professionals can retrain the model to meet their specific needs, thus facilitating the analysis of complex data contexts, from dynamic data visualization to privacy management information. This tool is the ideal companion for improving the understanding and interpretation of textual data in a multi-source professional environment.

Plan prices

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€/month
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A demo
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When using
€/month
Gratuit
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A demo
When using
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A demo

Features

API
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Web app

Who is using this AI?

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Features

Precise Sentiment Analysis

The tool makes it possible to effectively analyze emotions and feelings based on texts from social networks or other sources. By exploiting advanced algorithms of natural language processing (NLP), the user obtains precise insights into consumer feelings, thus facilitating the adaptation of communication strategies.

Dynamic Data Visualization

This feature turns complex data sets into understandable, interactive visualizations. With multiple visualization options, it helps users personalize their assessment reports, making data analysis both simple and intuitive.

Automatic Intent Detection

Thanks to automated intent detection, the tool discerns the intent behind texts from various sources such as forums, feedback forms and surveys. This ability optimizes accuracy the interpretation of textual data, allowing a better understanding of the needs and expectations of users.

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