Apache OpenNLP
Apache OpenNLP 1.5.3 (2013/04/13)
Developed by: Apache Software Foundation
License: Apache License
Web page : Tool homepage
Tool type : Framework/Library/API, {{{field_language}}}
The last edition of this page was on: 2014/03/21
The Completion level of this page is : Medium
The last edition of this page was on: 2014/03/21 The Completion level of this page is : Medium
SHORT DESCRIPTION
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.
It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning.
TOOL CHARACTERISTICS
Usability
Tool orientation
Data mining type
Manipulation type
IMPORT FORMAT :
EXPORT FORMAT :
| Tool objective(s) in the field of Learning Sciences | |
|
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
Tool can perform:
- Data extraction of type: Flat file database/Logfile extractor
- Transformation of type: Simple data transformation operations, Advanced data transformation operations
- Data analysis of type: Basic statistics and data summarization
- Data visualisation of type: (These visualisations can be interactive and updated in "real time")
ABOUT USERS
Tool is suitable for:
Required skills:
STATISTICS: Basic
PROGRAMMING: Advanced
SYSTEM ADMINISTRATION: Medium
DATA MINING MODELS: Basic
FREE TEXT
| Tool version : Apache OpenNLP 1.5.3 2013/04/13 (blank line) Developed by : Apache Software Foundation |
|
SHORT DESCRIPTION
The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.
It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning.
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 somewhat difficult to use. |
| Data import format | Data export format |
|---|---|
| . | . |
| Tool objective(s) in the field of Learning Sciences | |
|
☑ Analysis & Visualisation of data |
☑ Providing feedback for supporting instructors: |
Can perform data extraction of type:
Flat file database/Logfile extractor
Can perform data transformation of type:
Simple data transformation operations, Advanced data transformation operations
Can perform data analysis of type:
Basic statistics and data summarization
Can perform data visualisation of type:
(These visualisations can be interactive and updated in "real time")
ABOUT USER
| Tool is suitable for: | ||||
| Students/Learners/Consumers:☑ | Teachers/Tutors/Managers:☑ | Researchers:☑ | Organisations/Institutions/Firms:☑ | Others:☑ |
| Required skills: | |||
| Statistics: BASIC | Programming: ADVANCED | System administration: MEDIUM | Data mining models: BASIC |
OTHER TOOL INFORMATION
|
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| OpenNLP screen.png |
| OpenNLP.png |
| Apache OpenNLP |
| Apache License |
| Free&Open source |
| Apache Software Foundation |
| 2013/04/13 |
| 1.5.3 |
| http://opennlp.apache.org/index.html |
| The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text.
It supports the most common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. These tasks are usually required to build more advanced text processing services. OpenNLP also includes maximum entropy and perceptron based machine learning. |
| General analysis |
| Basic |
| Advanced |
| Medium |
| Basic |
| Framework/Library/API |
| Flat file database/Logfile extractor |
| Text mining |
| Data extraction, Data transformation, Data analysis |
| Basic statistics and data summarization |
| Simple data transformation operations, Advanced data transformation operations |
| somewhat difficult to use |
| Medium |
See here for further documentation : [1]