Amazon Comprehend
spaCy
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
OpenNLP
PyNLPl
Chattermill
DrawSQL
DBDiagram.io
Azimutt
MySQL Workbench
DbSchema
PopSQL
ChartDB
LucidChart
DrawSQL is a simple, beautiful database diagram editor for developers to ๐ง create, ๐ฌ collaborate and ๐ visualize their entity relationship diagrams.
Amazon Comprehend
DrawSQLBased on our record, Amazon Comprehend should be more popular than DrawSQL. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Defense-in-Depth for Content Safety: Amazon Comprehend pre-processing > Amazon Bedrock Guardrails > Lambda post-processing > API Gateway filtering. Includes threat detection for prompt injection, jailbreaks, and input sanitisation. - Source: dev.to / 4 months ago
Production-grade solutions leverage AWS AI/ML services to complement Amazon Bedrock. Amazon Comprehend provides natural language processing capabilities. Amazon Rekognition captures frames from videos for visual analysis. Amazon Bedrock Data Automation handles complex document processing, while Amazon Textract extracts text and data from documents. - Source: dev.to / 4 months ago
Analyzing text for sentiment or key phrases using Amazon Comprehend. - Source: dev.to / 8 months ago
Speech-to-Text Conversion: The AudioProcessing class extracts and processes audio using Amazon Transcribe StartTranscriptionJob API . With IdentifyMultipleLanguages as True , Transcribe uses Amazon Comprehend to identify the language in the audio, If you know the language of your media file, specify it using the LanguageCode parameter. - Source: dev.to / over 1 year ago
To learn more about Amazon Comprehend: Official Page. - Source: dev.to / almost 2 years ago
With this, I went for designing the db. I went to http://drawsql.app/ and created my first draft. Then exported the DDL and did a bit of back and forth with AI. This is the final draft of the database:. - Source: dev.to / 9 months ago
So I started designing the DB using this cool tool. The project has 2 tables, users and categories . The user can create many categories as he wants so the first approach I took was creating a third table, a union table to store user_id and category_id. With this solution the users are able to create x numbers of categories and we can see assign the category to the user. - Source: dev.to / over 1 year ago
Once you have generated the SQL code, you can convert it into a relational schema (the graphical table model) using DrawSQL. This tool offers:. - Source: dev.to / over 1 year ago
DrawSQL makes it easy for teams to collaborate on creating and maintaining schema diagrams. With a single source of truth, there's no need for manually syncing diagram files between different developers and offline tools anymore. Source: about 3 years ago
To be honest, since you are just getting started, I think you should reconsider simplifying this app to begin with. Built something easier and get some more experience before jumping in the ocean. Maybe start by focusing only on the parent company and sub-companies. However, I strongly recommend you to try and make a diagram of your database with relations and columns as it can you a lot of time. I personally use... Source: about 3 years ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
DBDiagram.io - Free database diagrams designer for analysts & developers ๐
Google Cloud Natural Language API - Natural language API using Google machine learning
Azimutt - Next-Gen ERD to Design, Explore and Document real world databases (big and messy ones ^^)
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
MySQL Workbench - MySQL Workbench is a unified visual tool for database architects, developers, and DBAs.