Tweet NLP

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Tweet NLP

No image.png

Developed by: Ark project, Carnegie Mellon University
License: Free&Open source
Web page : Tool homepage
Tool type : Application software

Tool.png

The last edition of this page was on: 2014/10/29

The Completion level of this page is : Low


SHORT DESCRIPTION

Quote: We provide a tokenizer, a part-of-speech tagger, hierarchical word clusters, and a dependency parser for tweets, along with annotated corpora and web-based annotation tools.


TOOL CHARACTERISTICS

Usability

Authors of this page consider that this tool is '.

Tool orientation

This tool is designed for general purpose analysis.

Data mining type

This tool is made for Text mining.

Manipulation type

This tool is designed for Data extraction, Data transformation, Data analysis, Data visualisation.

IMPORT FORMAT :

EXPORT FORMAT :


Tool objective(s) in the field of Learning Sciences

Analysis & Visualisation of data
Predicting student performance
Student modelling
Social Network Analysis (SNA)
Constructing courseware

Providing feedback for supporting instructors:
Recommendations for students
Grouping students:
Developing concept maps:
Planning/scheduling/monitoring
Experimentation/observation

Tool can perform:

  • Data extraction of type:
  • Transformation of type:
  • Data analysis of type:
  • Data visualisation of type: (These visualisations can be updated in "real time" )



ABOUT USERS

Tool is suitable for:

Students/Learners/Consumers
Teachers/Tutors/Managers
Researchers
Developers/Designers
Organisations/Institutions/Firms
Others

Required skills:

STATISTICS: Medium

PROGRAMMING: Medium

SYSTEM ADMINISTRATION: Medium

DATA MINING MODELS: Medium



FREE TEXT


Tool version : Tweet NLP
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Developed by : Ark project, Carnegie Mellon University
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Tool Web page : http://www.ark.cs.cmu.edu/TweetNLP/
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Tool type : Application software
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Free&Open source

No image.png

1 SHORT DESCRIPTION


Quote: We provide a tokenizer, a part-of-speech tagger, hierarchical word clusters, and a dependency parser for tweets, along with annotated corpora and web-based annotation tools.

2 TOOL CHARACTERISTICS


Tool orientation Data mining type Usability
This tool is designed for general purpose analysis. This tool is designed for Text mining. Authors of this page consider that this tool is .
Data import format Data export format
. .
Tool objective(s) in the field of Learning Sciences

☐ Analysis & Visualisation of data
☐ Predicting student performance
☐ Student modelling
☐ Social Network Analysis (SNA)
☐ Constructing courseware

☐ Providing feedback for supporting instructors:
☐ Recommendations for students
☐ Grouping students:
☐ Developing concept maps:
☐ Planning/scheduling/monitoring
Experimentation/observation

Can perform data extraction of type:

Can perform data transformation of type:

Can perform data analysis of type:

Can perform data visualisation of type:
(These visualisations can be updated in "real time" )


3 ABOUT USER


Tool is suitable for:
Students/Learners/Consumers:☐ Teachers/Tutors/Managers:☐ Researchers:☑ Organisations/Institutions/Firms:☐ Others:☐
Required skills:
Statistics: MEDIUM Programming: MEDIUM System administration: MEDIUM Data mining models: MEDIUM

4 OTHER TOOL INFORMATION


No screenshot.jpg
Tweet NLP
Free&Open source
Ark project, Carnegie Mellon University
http://www.ark.cs.cmu.edu/TweetNLP/
Quote: We provide a tokenizer, a part-of-speech tagger, hierarchical word clusters, and a dependency parser for tweets, along with annotated corpora and web-based annotation tools.
General analysis
Researchers
Medium
Medium
Medium
Medium
Application software
Text mining
Data extraction, Data transformation, Data analysis, Data visualisation
tweets
Low
Facts about "Tweet NLP"
Analysis orientationGeneral analysis +
Data manipulation typeData extraction +, Data transformation +, Data analysis + and Data visualisation +
Data tool typeApplication software +
End user typeResearchers +
Has completion levelLow +
Has descriptionQuote: We provide a tokenizer, a part-of-speech tagger, hierarchical word clusters, and a dependency parser for tweets, along with annotated corpora and web-based annotation tools. +
Has nameTweet NLP +
Has websitehttp://www.ark.cs.cmu.edu/TweetNLP/ +
Import formattweets +
Is developed byArk project, Carnegie Mellon University +
Last editionOctober 29, 2014 +
License typeFree&Open source +
Mining tool typeText mining +
User data mining models levelMedium +
User programming levelMedium +
User statistics levelMedium +
User system engineering levelMedium +