Support for Structured and Unstructured Data

  • The ISEEY platform is designed to handle both structured and unstructured data inputs in text form, enabling comprehensive data analysis and insights. By supporting various data types, ISEEY can analyze diverse information sources, such as forms, documents, emails, and reports, and deliver meaningful insights regardless of the data's format.

  • The ISEEY platform is equipped to handle audio input, enabling it to transcribe, translate, and analyze the content, including performing sentiment analysis. It achieves this through a series of AI models and algorithms designed specifically for audio processing. ISEEY accepts audio inputs from various sources such as voice recordings, phone calls, or audio files.

  • The ISEEY platform supports video input to enable comprehensive analysis, transcription, translation, and sentiment analysis. By using a combination of AI models and algorithms, ISEEY can process both the audio and visual elements within videos, extracting valuable insights and enhancing accessibility.

  • The ISEEY platform is well-equipped to handle social media content as input, enabling businesses to analyze, translate, transcribe, and perform sentiment analysis on diverse social media data. This is particularly useful for companies looking to understand brand perception, monitor customer sentiment, and engage effectively with their audiences.

ISEEY PLATFORM

AI FOR TEXT

Structured Data

Structured data, such as databases, spreadsheets, and tables, is organized and formatted consistently. ISEEY processes this data seamlessly, recognizing fields, categories, and data relationships, making it easy to extract, analyze, and interpret predefined information.

Unstructured Data

Unstructured data, such as free-text documents, emails, PDFs, and social media content, lacks a predefined format. ISEEY uses advanced Natural Language Processing (NLP) techniques to interpret unstructured text, identifying key terms, extracting themes, categorizing content, and even detecting sentiment.

Data Ingestion:

ISEEY can accept various text data sources, from highly structured tables to unstructured free text.

Data Transformation:

AI algorithms parse structured data directly and use NLP to extract relevant information from unstructured text.

Data Analysis:

Once ingested, data is processed through machine learning models that provide insights, such as trend detection, content categorization, and sentiment analysis.

ISEEY PLATFORM

AI FOR AUDIO

The ISEEY platform is equipped to handle audio input, enabling it to transcribe, translate, and analyze the content, including performing sentiment analysis.

Here’s how ISEEY handles each step in the process:

Audio Ingestion

ISEEY accepts audio inputs from various sources such as voice recordings, phone calls, or audio files. It can support multiple audio formats, allowing seamless integration with various data sources, whether live or pre-recorded.

Transcription with Automatic Speech Recognition (ASR)

ISEEY utilizes Automatic Speech Recognition (ASR) models to convert audio into text. These models are trained to recognize and transcribe speech accurately, even in noisy environments, with varying accents or dialects.

  • Speech Detection
  • Language Processing

Translation with Neural Machine Translation (NMT)

For multilingual applications, ISEEY employs Neural Machine Translation (NMT) algorithms to translate transcribed text into different languages. These algorithms are capable of retaining the original context and nuances, providing high-quality translations suitable for various business and customer service applications.

The translation system can support multiple languages, enabling real-time translation for global audiences.

Sentiment Analysis with Natural Language Processing (NLP)

ISEEY uses Natural Language Processing (NLP) techniques for sentiment analysis, which allows it to assess the tone and emotional context of the transcribed text.Sentiment analysis involves:

  • Keyword and Phrase Analysis
  • Contextual Understanding

Advanced AI Models for Enhanced Analysis

  • The ISEEY platform leverages additional AI algorithms to extract valuable insights from audio data, including:
  • Emotion Recognition
  • Keyword Spotting
  • Topic Modeling

ISEEY PLATFORM

AI FOR VIDEO

Video Ingestion and Preprocessing

ISEEY accepts video inputs from a variety of sources, including recorded files and live streams, in multiple video formats.

  • Separating Audio and Visual Components
  • Frame Analysis

Audio Transcription with Automatic Speech Recognition (ASR)

ISEEY uses Automatic Speech Recognition (ASR) to convert spoken words within the audio into text.

The ASR process involves:

  • Speech Detection
  • Language Modeling

Translation with Neural Machine Translation (NMT)

For multilingual capabilities, ISEEY employs Neural Machine Translation (NMT) to translate transcribed text into different languages.

This translation process retains the original meaning and nuances, making the video content accessible to a global audience.

Visual Analysis with Computer Vision

ISEEY uses Computer Vision models to analyze visual elements within the video. This involves:

  • Object Detection
  • Facial Recognition and Emotion Detection
  • Optical Character Recognition (OCR)

Sentiment Analysis with Natural Language Processing (NLP)

Once the audio is transcribed, ISEEY uses Natural Language Processing (NLP) to perform sentiment analysis on the text.

Sentiment analysis involves:

  • Emotion and Tone Detection
  • Contextual Sentiment Understanding

Advanced AI Models for Comprehensive Video Analysis

The ISEEY platform leverages additional AI models for enhanced insights:

  • Emotion Recognition
  • Keyword and Topic Analysis
  • Scene Detection

Features and Benefits

The ISEEY platform provides a robust set of features and benefits for processing text, audio, and video inputs. It is designed to handle both structured and unstructured data, enabling comprehensive analysis across multiple data formats.

ISEEY for Text

Features:

Structured Data Analysis: Extracts and organizes data from structured sources like spreadsheets, databases, and XML files.

Unstructured Data Processing: Leverages Natural Language Processing (NLP) to analyze free-form text, such as documents, social media posts, emails, and reports.

Sentiment Analysis: Detects emotions and tone in text, enabling companies to understand customer feedback, product reviews, and social media sentiment.

Keyword Extraction & Topic Modeling: Automatically identifies key phrases, keywords, and main topics within text data, making it easier to categorize and analyze content.

Benefits:

Enhanced Decision-Making: Gain actionable insights from a wide range of text data sources, structured or unstructured.

Improved Customer Understanding: Sentiment analysis provides a clearer view of customer preferences, needs, and pain points.

Data Categorization & Organization: Facilitates data management and organization by categorizing information according to topics or themes.

Language Support: Easily analyze text data from multiple languages with translation capabilities, expanding insights across global markets.

Audio Input Features and Benefits

Features:

Speech-to-Text Transcription: Converts audio into text using Automatic Speech Recognition (ASR), ideal for recorded calls, meetings, podcasts, and other voice content.

Multilingual Translation: Translates transcribed text into multiple languages, allowing businesses to analyze audio content from diverse linguistic backgrounds.

Sentiment Analysis on Transcribed Text: Applies NLP to transcribed text to detect emotional tone, sentiment, and speaker intent.

Keyword Spotting & Emotion Recognition: Identifies specific terms, phrases, and emotions within audio, allowing for targeted analysis.

Benefits:

Improved Accessibility: Transcription and translation make audio content accessible to a broader audience, including those who prefer reading or need content in another language.

Enhanced Customer Support: Sentiment analysis on customer calls provides insights into customer satisfaction and helps improve support quality.

Efficient Analysis: Quickly analyze large volumes of audio data without manual review, saving time and resources.

Multilingual Support: Translation capabilities allow companies to connect with a global audience and gain insights from diverse markets.

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Video Input Features and Benefits

Features:

Audio Transcription and Translation: Separates audio from video and transcribes it, with multilingual translation capabilities for global accessibility.

Visual Analysis with Computer Vision: Identifies objects, faces, and scenes within video frames, and uses Optical Character Recognition (OCR) to extract on-screen text.

Emotion & Sentiment Detection: Analyzes both audio and visual content for emotions and sentiment, providing a comprehensive view of tone and intent.

Scene Segmentation & Topic Detection: Divides videos into segments based on topics or scenes, enabling targeted content analysis.

Benefits:

Enhanced Content Accessibility: Transcription and translation open video content to a wider audience, including those with hearing impairments or language preferences.

In-Depth Analysis: Visual and audio sentiment analysis provides a holistic view of both verbal and non-verbal cues, essential for understanding video content.

Automated Categorization: Scene segmentation and topic detection allow for easy categorization and retrieval of video content.

Scalability: ISEEY can analyze large video libraries quickly and efficiently, saving significant manual effort for media and entertainment industries.

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Overall Platform Benefits

Data Versatility: ISEEY seamlessly integrates structured and unstructured data from text, audio, and video, providing a unified platform for comprehensive data analysis.

Efficiency: Automated processes reduce the time and resources required for manual data processing and analysis.

Insight Generation: Extract valuable insights across multiple data types, empowering data-driven decisions for businesses.

Scalability and Flexibility: Suitable for analyzing large volumes of data across various formats, supporting businesses of all sizes and industries.

Global Reach: Translation and multilingual support enable businesses to analyze and act on data from multiple languages, expanding global accessibility.