Google Cloud Natural Language API
Amazon Comprehend
spaCy
FuzzyWuzzy
Microsoft Bing Spell Check API
OpenNLP
Medallia
PyNLPl
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.
Google Cloud Natural Language API
DrawSQLNo Google Cloud Natural Language API videos yet. You could help us improve this page by suggesting one.
Google Cloud Natural Language API might be a bit more popular than DrawSQL. We know about 14 links to it since March 2021 and only 12 links to DrawSQL. 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.
On this family summer trip to Asia, I've admittedly been relying heavily on Google Translate. As someone who lives in the world of APIs, that makes me think of "its API,"^ the Google Cloud Translation API. Pure translation, though, is not the same as finding the right words (although they're similar), and that makes me think of natural language understanding (NLU). When considering NLU and NLP (natural language... - Source: dev.to / about 2 years ago
Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: over 2 years ago
Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: almost 3 years ago
Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: over 3 years ago
Weโre seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / over 3 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
Amazon Comprehend - Discover insights and relationships in text
DBDiagram.io - Free database diagrams designer for analysts & developers ๐
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
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.