// About text analysis

We reveal hidden patterns
In digital content

01.
Word cloud
02.
Sentiment analysis
03.
Image to text conversion system (OCR)
04.
Audio to text (ASR) system
01
Machine learning

Deep machine learning

02
Artificial intelligence

Learning and development

03
Business intelligence

Business analysis

// تحلیل متن

What is Ahd textual analyzer?

At Ahed company, based on artificial intelligence and deep learning, a set of smart services for text analysis, including super words, extracting text from image (OCR), sentiment analysis, text summarizer, key phrase extractor and voice to text conversion have been developed. The features of these services are:

Based on the new textual data and regardless of the topic and structure, all these services will be able to be personalized and re-educated.
The aforementioned intelligent analyzers are optimized in such a way that they have the ability to quickly respond to diverse and large-scale data.
The mentioned services have been implemented, on the one hand, inspired by similar and powerful foreign examples, and on the other hand, paying attention to the features of the Persian language. This has caused these services to show significant accuracy in the Persian language.
// About the word cloud

word cloud
Illustrating key ideas.

This service provides the possibility of graphically displaying the words in a text or a group of textual data. In the keyword service, the size of each word usually indicates the importance of that word in the text. The most important words are displayed in a larger font, and the less important words are displayed in a smaller font. Hence, a word cloud can be used for content analysis, data visualization, or providing an overview of a dataset. This service is usually used in text analysis, presentations and reports, and getting general ideas of a text.

// About sentiment analysis

Analysis of sentiments
Analyzing user sentiments to better understand customers.

The sentiment analysis service is an artificial intelligence service that is able to recognize hidden sentiments and opinions in texts. These services use natural language processing techniques and machine learning models to determine whether a piece of text, such as a user’s opinion about a product, is positive, negative, or neutral.The developed sentiment analysis service allows companies and organizations to better understand customer opinions and reactions. This technique can be used in various fields such as marketing, brand management, customer support and social media monitoring and helps to make more accurate and intelligent decisions.

// About summarizing feelings

Summary of feelings
Look at the emotions of customers

It is a service based on artificial intelligence models that allows users to analyze emotions in texts. This means that the service has the ability to identify and separate sentences with positive and negative feelings in the text. For example, if a company wants to check the opinions of its customers about a new product, this service can separate sentences that contain positive opinions from sentences with negative sentiment. This allows companies to better understand what aspects of their product or service customers like and which areas need improvement. This analysis provides valuable information for future decision making and increasing customer satisfaction.

// About converting image to text

Intelligent image to text conversion system
Convert the words in the image to text.

This service uses the latest artificial intelligence technologies in image processing and natural language processing. The image processing part of this service is responsible for recognizing patterns and text characters. And the text part is responsible for recognizing the characters and putting them together in the output. In other words, we will be able to recognize characters in this service by training deep models on a large set of generated text images. The important thing about this service is its development in Persian language. For this purpose, a voluminous data set was produced on the Persian language, and images related to these images were created and used to train the model. It is worth mentioning that the output of the trained model in Farsi language has been able to achieve more accuracy than the accuracy of leading models. By using this service, you will be able to convert images containing English and Farsi alphabets into text without typing. Also, it is possible to convert physical documents into digital text by taking a photo of the physical document or file and using this service. In addition, this service can be used in various sectors of the industry, such as medical and pharmaceutical fields, translation services, companies that produce scanning devices, etc.

// About ASR

ASR intelligent system
Intelligent voice-to-text conversion system

The intelligent audio-to-text conversion system is a technology that, using advanced algorithms and techniques, is able to automatically and accurately convert the text in audio files into editable text. The smart audio to text conversion service has several parts. First, the deep trained model recognizes the words and phrases in the input audio (such as an audio file or live input) and sends it to the next step. In the next step, the recognized text is transferred to the natural language processing section. In this section, we process and improve the audio text using algorithms and linguistic rules. For example, corrections may be made to the text in this section, such as identifying and replacing corrections, filling spaces, and punctuating the text correctly. This service can be used in customer relationship management systems, call services, automatic subtitle generation, etc.