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From don...@apache.org
Subject [08/12] incubator-predictionio git commit: [PIO-34] Add 2 templates by community
Date Fri, 16 Dec 2016 18:03:23 GMT
[PIO-34] Add 2 templates by community

* Sentiment Analysis
* Topic Labelling

Closes #292
Closes #315


Project: http://git-wip-us.apache.org/repos/asf/incubator-predictionio/repo
Commit: http://git-wip-us.apache.org/repos/asf/incubator-predictionio/commit/03e99814
Tree: http://git-wip-us.apache.org/repos/asf/incubator-predictionio/tree/03e99814
Diff: http://git-wip-us.apache.org/repos/asf/incubator-predictionio/diff/03e99814

Branch: refs/heads/develop
Commit: 03e99814384134331cce558c9d89d93f9a7df347
Parents: df568b6 82d3e6a
Author: Donald Szeto <donald@apache.org>
Authored: Wed Nov 2 11:01:36 2016 -0700
Committer: Donald Szeto <donald@apache.org>
Committed: Wed Nov 2 11:01:36 2016 -0700

----------------------------------------------------------------------
 docs/manual/source/gallery/templates.yaml | 24 ++++++++++++++++++++++++
 1 file changed, 24 insertions(+)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/incubator-predictionio/blob/03e99814/docs/manual/source/gallery/templates.yaml
----------------------------------------------------------------------
diff --cc docs/manual/source/gallery/templates.yaml
index 80a69e3,19aa2aa..e411ac3
--- a/docs/manual/source/gallery/templates.yaml
+++ b/docs/manual/source/gallery/templates.yaml
@@@ -526,3 -526,123 +526,27 @@@
      license: "Apache Licence 2.0"
      status: beta
      pio_min_version: 0.9.0
+ 
+ - template:
 -    name: "Best Time: Push Notification"
 -    repo: "https://github.com/PredictionIO/template-best-time-push-notification"
 -    description: |-
 -      This template predicts the best time to send push notification to a user to optimize
conversion.
 -    tags: [other]
 -    type: "-"
 -    language: "-"
 -    license: "-"
 -    status: requested
 -    pio_min_version: "-"
 -
 -- template:
 -    name: "Best Time: E-mail"
 -    repo: "https://github.com/PredictionIO/template-best-time-email"
 -    description: |-
 -      An engine template is an almost-complete implementation of an engine. PredictionIO's
Classification Engine Template has integrated Apache Spark MLlib's Naive Bayes algorithm by
default.
 -    tags: [other]
 -    type: "-"
 -    language: "-"
 -    license: "-"
 -    status: requested
 -    pio_min_version: "-"
 -
 -- template:
 -    name: Search Results Ranking
 -    repo: "https://github.com/PredictionIO/template-search-results-ranking"
 -    description: |-
 -      This template rank the search results with a given user’s behavioral history so
the top results are most relevant.
 -    tags: [unsupervised]
 -    type: "-"
 -    language: "-"
 -    license: "-"
 -    status: requested
 -    pio_min_version: "-"
 -
 -- template:
 -    name: Category identification
 -    repo: "https://github.com/PredictionIO/template-category-identification"
 -    description: |-
 -      Given a product and its description, this template identifies the category this item
belongs to.
 -    tags: [classification]
 -    type: "-"
 -    language: "-"
 -    license: "-"
 -    status: requested
 -    pio_min_version: "-"
 -
 -- template:
 -    name: Smart Categories
 -    repo: "https://github.com/PredictionIO/template-smart-categories"
 -    description: |-
 -      This template ranks the categories for a user.
 -    tags: [unsupervised]
 -    type: "-"
 -    language: "-"
 -    license: "-"
 -    status: requested
 -    pio_min_version: "-"
 -
 -- template:
 -    name: Fake Account Detection
 -    repo: "https://github.com/PredictionIO/template-fake-account-detection"
 -    description: |-
 -      This template detects accounts created with abnormal pattern.
 -    tags: [classification]
 -    type: "-"
 -    language: "-"
 -    license: "-"
 -    status: requested
 -    pio_min_version: "-"
 -
 -- template:
 -    name: Product Trend
 -    repo: "https://github.com/PredictionIO/template-product-trend"
 -    description: |-
 -      This template analyze the user behavior on site to predict the best selling products
and trends.
 -    tags: [classification]
 -    type: "-"
 -    language: "-"
 -    license: "-"
 -    status: requested
 -    pio_min_version: "-"
 -
 -- template:
 -    name: User Similarity
 -    repo: "https://github.com/PredictionIO/template-user-similarity"
 -    description: |-
 -      This template make recommendation on similar users based on attributes and behavior.
 -    tags: [unsupervised]
 -    type: "-"
 -    language: "-"
 -    license: "-"
 -    status: requested
 -    pio_min_version: "-"
 -    
 -- template:
 -    name: Sentiment Analysis - Bag of words model
++    name: Sentiment Analysis - Bag of Words Model
+     repo: "https://github.com/peoplehum/BagOfWords_SentimentAnalysis_Template"
+     description: |-
 -      This Sentiment analysis template follows Bag of words model. Given text, engine will
return sentiment as 1.0(positive) or 0.0(negative) along with it's score referring how much
it is +ve or -ve.
++      This sentiment analysis template uses a bag of words model. Given text, the engine
will return sentiment as 1.0 (positive) or 0.0 (negative) along with scores indicating how
+ve or -ve it is.
+     tags: [nlp]
+     type: Parallel
+     language: Scala
+     license: "Apache Licence 2.0"
+     status: stable
+     pio_min_version: 0.10.0-incubating
 -    
++
+ - template:
 -    name: Topic labelling with Wikipedia
++    name: Topic Labelling with Wikipedia
+     repo: "https://github.com/peoplehum/template-Labelling-LDA-Topics-with-wikipedia"
+     description: |-
 -      This template will label topics(eg. topic generated through LDA topic modeling) with
relevant category by referring wikipedia as knowledge base.
++      This template will label topics (e.g. topic generated through LDA topic modeling)
with relevant category by referring to Wikipedia as a knowledge base.
+     tags: [nlp]
+     type: Parallel
+     language: Scala
+     license: "Apache Licence 2.0"
+     status: stable
+     pio_min_version: 0.10.0-incubating


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