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Fri, 16 Dec 2016 18:03:17 +0000 (UTC) Received: (qmail 25181 invoked by uid 99); 16 Dec 2016 18:03:16 -0000 Received: from git1-us-west.apache.org (HELO git1-us-west.apache.org) (140.211.11.23) by apache.org (qpsmtpd/0.29) with ESMTP; Fri, 16 Dec 2016 18:03:16 +0000 Received: by git1-us-west.apache.org (ASF Mail Server at git1-us-west.apache.org, from userid 33) id 9F06CE3902; Fri, 16 Dec 2016 18:03:16 +0000 (UTC) Content-Type: text/plain; charset="us-ascii" MIME-Version: 1.0 Content-Transfer-Encoding: 8bit From: donald@apache.org To: commits@predictionio.incubator.apache.org Date: Fri, 16 Dec 2016 18:03:23 -0000 Message-Id: <4d044d63b70943afaf616b3414eb588e@git.apache.org> In-Reply-To: <4fef3f4488e34ca2b9c738537dfb7c31@git.apache.org> References: <4fef3f4488e34ca2b9c738537dfb7c31@git.apache.org> X-Mailer: ASF-Git Admin Mailer Subject: [08/12] incubator-predictionio git commit: [PIO-34] Add 2 templates by community archived-at: Fri, 16 Dec 2016 18:03:22 -0000 [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 Authored: Wed Nov 2 11:01:36 2016 -0700 Committer: Donald Szeto 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