From 7bba9cdc143ddefb0a6047c2573f022396024936 Mon Sep 17 00:00:00 2001 From: "Frederic R. Hopp" Date: Tue, 11 May 2021 19:18:19 -0700 Subject: [PATCH 1/3] Update universe.json --- website/meta/universe.json | 26 ++++++++++++++++++++++++++ 1 file changed, 26 insertions(+) diff --git a/website/meta/universe.json b/website/meta/universe.json index 721de1eb5..5b14b54be 100644 --- a/website/meta/universe.json +++ b/website/meta/universe.json @@ -25,6 +25,32 @@ }, "category": ["standalone"], "tags": ["person-name-detection"] + }, + { + "id": "eMFDscore", + "title": "eMFDscore : Extended Moral Foundation Dictionary Scoring for Python", + "slogan": "Extended Moral Foundation Dictionary Scoring for Python", + "description": "Fast, flexible extraction of moral information from textual input data.", + "github": "https://github.com/medianeuroscience/emfdscore", + "code_example": [ + "from emfdscore.scoring import score_docs", + "import pandas as pd", + "template_input = pd.read_csv('emfdscore/template_input.csv', header=None)", + "DICT_TYPE = 'emfd'", + "PROB_MAP = 'single'", + "SCORE_METHOD = 'bow'", + "OUT_METRICS = 'vice-virtue'", + "OUT_CSV_PATH = 'single-vv.csv'", + "df = score_docs(template_input,DICT_TYPE,PROB_MAP,SCORE_METHOD,OUT_METRICS,num_docs)", + ], + "code_language": "python", + "author": "Media Neuroscience Lab", + "author_links": { + "github": "medianeuroscience", + "twitter": "medianeuro" + }, + "category": ["research", "teaching"], + "tags": ["morality", "dictionary", "sentiment"] }, { "id": "skweak", From a9ca221e03544a7bda5ef5032e7c2fd63a8b52b5 Mon Sep 17 00:00:00 2001 From: "Frederic R. Hopp" Date: Wed, 12 May 2021 09:20:17 -0700 Subject: [PATCH 2/3] Update universe.json Added more detailed description to eMFDscore project --- website/meta/universe.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/meta/universe.json b/website/meta/universe.json index 5b14b54be..533193487 100644 --- a/website/meta/universe.json +++ b/website/meta/universe.json @@ -30,7 +30,7 @@ "id": "eMFDscore", "title": "eMFDscore : Extended Moral Foundation Dictionary Scoring for Python", "slogan": "Extended Moral Foundation Dictionary Scoring for Python", - "description": "Fast, flexible extraction of moral information from textual input data.", + "description": "eMFDscore is a library for the fast and flexible extraction of various moral information metrics from textual input data. eMFDscore is build on spaCy for faster execution and performs minimal preprocessing consisting of tokenization, syntactic dependency parsing, lower-casing, and stopword/punctuation/whitespace removal. eMFDscore lets users score documents with multiple Moral Foundations Dictionaries, provides various metrics for analyzing moral information, and extracts moral patient, agent, and attribute words related to entities.", "github": "https://github.com/medianeuroscience/emfdscore", "code_example": [ "from emfdscore.scoring import score_docs", From c5962b9fba12fefa68870416bd637af7e6b74499 Mon Sep 17 00:00:00 2001 From: "Frederic R. Hopp" Date: Thu, 13 May 2021 07:40:05 -0700 Subject: [PATCH 3/3] Update universe.json fixed typo --- website/meta/universe.json | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/website/meta/universe.json b/website/meta/universe.json index 533193487..87328074a 100644 --- a/website/meta/universe.json +++ b/website/meta/universe.json @@ -30,7 +30,7 @@ "id": "eMFDscore", "title": "eMFDscore : Extended Moral Foundation Dictionary Scoring for Python", "slogan": "Extended Moral Foundation Dictionary Scoring for Python", - "description": "eMFDscore is a library for the fast and flexible extraction of various moral information metrics from textual input data. eMFDscore is build on spaCy for faster execution and performs minimal preprocessing consisting of tokenization, syntactic dependency parsing, lower-casing, and stopword/punctuation/whitespace removal. eMFDscore lets users score documents with multiple Moral Foundations Dictionaries, provides various metrics for analyzing moral information, and extracts moral patient, agent, and attribute words related to entities.", + "description": "eMFDscore is a library for the fast and flexible extraction of various moral information metrics from textual input data. eMFDscore is built on spaCy for faster execution and performs minimal preprocessing consisting of tokenization, syntactic dependency parsing, lower-casing, and stopword/punctuation/whitespace removal. eMFDscore lets users score documents with multiple Moral Foundations Dictionaries, provides various metrics for analyzing moral information, and extracts moral patient, agent, and attribute words related to entities.", "github": "https://github.com/medianeuroscience/emfdscore", "code_example": [ "from emfdscore.scoring import score_docs",