Tweet NLP

DM & LA Portal > Form: Data mining and learning analytics tools

Tweet NLP

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

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

The Completion level of this page is : Low

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.

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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 interactive and 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

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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

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## Contents

* 1 SHORT DESCRIPTION
* 2 TOOL CHARACTERISTICS
* 3 ABOUT USER
* 4 OTHER TOOL INFORMATION

## SHORT DESCRIPTION[edit source]

* * *

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[edit source]

* * *

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 interactive and updated in "real time")

## ABOUT USER[edit source]

* * *

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

## OTHER TOOL INFORMATION[edit source]

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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