๐ญ Iโm currently working on:
- Work
- Trying to get back into FOSS
๐ฑ Iโm currently learning:
- Rust as time permits
โก Iโm looking to collaborate on:
- Plant/botany/horticulture things!
- FOSS!
A company/project name generator for Python. Uses NLTK and diverse techniques derived from existing corporate etymologies and naming agencies for sophisticated word generation and ideation.
Home Page: http://christabor.github.io/namebot/
License: Apache License 2.0
This is a somewhat nebulous definition, as the problem domain is hard to obtain and solve. It likely needs to be researched before any implementation is added.
I've already implemented this in JS, it could be ported here as well. Also under consideration: snoop dogg *izzle? These should probably be sub-classed or put in a different file than techniques, they are a bit off the beaten path of techniques...
Requiring input, try to extract a backronym via synset ring using existing words or existing acronym generators.
More details: http://en.wikipedia.org/wiki/Backronym
Currently there is only test coverage for strainer and normalization. There are many more modules that need to be tested.
https://gist.github.com/8635ebbe4cc44943a16514a8637f7f06
how solve this?
Old functions researched but not implemented:
Currently, prefix, suffix, and duplifix have been implemented. There are many known *fix types, but at the minimum, this milestone should implement the current placeholder functions disfix and infix
This is an empty definition that needs to be implemented. Would probably make the most sense to abstract it into a separate language module that can be used with any language, for more options.
This may be a more appropriate tool for metrics counting:
https://docs.python.org/2/library/collections.html#collections.Counter
There is not much to work with, no API or programmatic tools, so it may require some kind of automated scraper/web-driver tool to emulate user behavior.
http://tmsearch.uspto.gov/bin/gate.exe?f=tess&state=4806:q7wg8q.1.1
This is my commands installation in a new ubuntu 14 - 64 bits instance
sudo apt-get install gcc make build-essential git python-pip python-dev python-setuptools
git clone https://github.com/christabor/namebot.git
cd namebot/
sudo pip install -U setuptools
sudo pip install -r requirements.txt
sudo make install
what is next step?
Duplicate of #18
When I install this using the instructions provided in the README file....
cd web && pip install -r requirements.txt
I get the following github authentication error after it clones the repository locally:
Collecting git+https://github.com/Automotron/namebot.git (from -r requirements.txt (line 13))
Cloning https://github.com/Automotron/namebot.git to c:\users\lysako1\appdata\local\temp\pip-dhf34x86-build1\AppData\Local\Temp\pip-dhf34x86-build" failed with error code 128 in None
Username for 'https://github.com':
Password for 'https://github.com':
remote: Repository not found.
fatal: Authentication failed for 'https://github.com/Automotron/namebot.git/'
Command "git clone -q https://github.com/Automotron/namebot.git C:\Users\LYSAKO
Add troponyms to synset ring that is generated in get_synsets.
A new Portmanteau option, that focuses on the consonants, opposite the make_portmanteau_vowel definition. This could probably be combined with that function and passed in a flag to determine which option to default to.
Could be optimized.
This should hook into NLTK, and simply use the existing synsets to generate a new phrase after organizing using POS tagging. Some likely combinations include:
Adjective + noun
Adverb + verb
Noun + verb
Noun + Adverb
Verb + Preposition
Preposition + Adverb
Preposition + Noun
(plus all reversals of the above combination.)
Currently pertainyms are not added to the get_synset and synset library. This would add more options when extracting words.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
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TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
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JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
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Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.