Skip to content

Clarified roadmap to mention existence of current text/NLP features #800

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 4 commits into from
Sep 27, 2018
Merged

Clarified roadmap to mention existence of current text/NLP features #800

Changes from all commits
Commits
Show all changes
4 commits
Select commit Hold shift + click to select a range
aabaa95
clarifying roadmap to mention current text/NLP features
artidoro Aug 31, 2018
8fe10ee
Merge branch 'master' of https://github.com/dotnet/machinelearning in…
artidoro Sep 25, 2018
7731405
updated the documentation to fix review comments
artidoro Sep 25, 2018
90ce325
Merge branch 'master' of https://github.com/dotnet/machinelearning in…
artidoro Sep 26, 2018
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 4 additions & 3 deletions ROADMAP.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -23,11 +23,12 @@ In the meanwhile, we are looking for contributions. An easy place to start is t
* Native Binary high-performance format

### Featurization Improvements
We already provide text/NLP and image processing functionnalities that will be expanded
* Text (*)
* Natural language text preprocessing such as tokenization, part-of-speech tagging, and sentence breaking
* Pre-trained text models that can be used for extracting of semantic or sentiment features from text
* Natural language text preprocessing such as improving tokenization features, adding part-of-speech tagging, and sentence boundary disambiguation
* Pre-trained text models (beyond current n-gram and pre-trained WordEmbedding text handling) that can further improve the extraction of semantic or sentiment features from text
* Image (*)
* Image preprocessing such as loading, resizing, and normalization if images
* Image preprocessing such as loading, resizing, and normalization of images
* Image featurization, including industry-standard pre-trained ImageNet neural models, such as ResNet and AlexNet

### Trained Model Management
Expand Down