Success Stories

Dar Al-Ifta Use Case

Dar El-Ifta monitor the Fatwa across the world, and that’s what was developed by our Team through several steps

Extraction

Thousands of Fatwa Documents were extracted by our smart crawler which crawled over 1000+ sources (web, facebook, twitter, Telegram, ask fm and Youtube). Some tasks needed to be reined after its extraction like audio and YouTube videos which required a further step of Video annotation and transcription , Integration of audio and video scraping and Integrating Google-translation and Text to Speech recognition techniques.

Classification

Fatwas differ according to the category that it refers to, numerous categories and sub categories are differentiating the type of Fatwa, so an automatic indexing approach was needed to decrease such workload of thousands and maybe millions of Fatwa that was categorized manually.

Search Engine

A supported Search engine was built to enable Azhar scholars to reach any kind of Fatwa with all the information about its sources, type and who wrote it and when.

Report Generation Tool

A report generation tool was supported to allow the users to get all the technical information about any Fatwa and its availability.

Work flow 

After Content Extraction there's a work flow that needs to be done till the fatwa is archived to add some metadata on the fatwa content.

COMPETITOR ANALYSIS USE CASE

These days’ competitions become harder than ever. It is not feasible to focus on business problem and competitors’ performance which are not easy to track or analyze in today’s open markets.

• Manually tracking your competitors’ top performing content isn’t feasible. And isn’t worth the investment.

• The emergence of social media which plays as a huge different market that can’t be tracked easily. So Artificial intelligence is quickly integrating it self into every aspect of content marketing, and here comes the role of our smart crawler system:

• Instead of manually searching for your brand repeatedly throughout each day on multiple networks, Pulls all this information together in a simple dashboard that allows the user to research and take action quickly and seamlessly. Focuses on Knowing competitor’s strategy, how their audience perceives them, their strengths and weaknesses, all of this makes yourself on the top of them. Tracking competitor brand mentions in publications and social media.

Visual Arabic Dictionary Use Case

It is a lexical semantic network of the Arabic language, which aims to re-represent the lexical significance of words in a network form that approximates the network of the cognitive structure of the language in the dictionary user's brain, with the aim of facilitating his learning of it, enriching his mental lexicon, and improving his linguistic performance.

• Simplifying the traditional textual lexical definitions of Arabic words, and converting them from a text image to a network image with clear content, easy to understand and learn.

• Linking each word with other words related to it, with the semantic and logical relationships used in it.

• Achieving the learner's positivity by controlling the expansion or narrowing oft the semantic network of the word, and choosing the appropriate linguistic level for him.

• Easy access to the desired word through multiple search methods and navigation between words.

• Enables the user to participate positively in its construction and development by Suggesting one or more new words related to the word he is searching for.