[
https://issues.apache.org/jira/browse/TIKA-2016?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15995572#comment-15995572
]
ASF GitHub Bot commented on TIKA-2016:
--------------------------------------
chrismattmann commented on issue #169: TIKA-2016 Sentiment Analysis Parser
Contributed by amensiko and thammegowda
URL: https://github.com/apache/tika/pull/169#issuecomment-299022223
## Build passes:
```
[INFO]
------------------------------------------------------------------------
[INFO] Building Apache Tika 1.15-SNAPSHOT
[INFO]
------------------------------------------------------------------------
[INFO]
[INFO] --- maven-clean-plugin:2.5:clean (default-clean) @ tika ---
[INFO]
[INFO] --- maven-remote-resources-plugin:1.5:process (default) @ tika ---
[INFO]
[INFO] --- maven-site-plugin:3.4:attach-descriptor (attach-descriptor) @
tika ---
[INFO]
[INFO] --- forbiddenapis:2.2:check (default) @ tika ---
[INFO] Skipping execution for packaging "pom"
[INFO]
[INFO] --- forbiddenapis:2.2:testCheck (default) @ tika ---
[INFO] Skipping execution for packaging "pom"
[INFO]
[INFO] --- maven-install-plugin:2.5.2:install (default-install) @ tika ---
[INFO] Installing /Users/mattmann/git/tika-gh/pom.xml to
/Users/mattmann/.m2/repository/org/apache/tika/tika/1.15-SNAPSHOT/tika-1.15-SNAPSHOT.pom
[INFO]
------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO]
[INFO] Apache Tika parent ................................. SUCCESS [ 1.047
s]
[INFO] Apache Tika core ................................... SUCCESS [ 22.697
s]
[INFO] Apache Tika parsers ................................ SUCCESS [03:23
min]
[INFO] Apache Tika XMP .................................... SUCCESS [ 1.649
s]
[INFO] Apache Tika serialization .......................... SUCCESS [ 1.436
s]
[INFO] Apache Tika batch .................................. SUCCESS [01:50
min]
[INFO] Apache Tika language detection ..................... SUCCESS [ 3.730
s]
[INFO] Apache Tika application ............................ SUCCESS [ 32.442
s]
[INFO] Apache Tika OSGi bundle ............................ SUCCESS [ 17.231
s]
[INFO] Apache Tika translate .............................. SUCCESS [ 1.825
s]
[INFO] Apache Tika server ................................. SUCCESS [ 35.426
s]
[INFO] Apache Tika examples ............................... SUCCESS [ 9.609
s]
[INFO] Apache Tika Java-7 Components ...................... SUCCESS [ 1.738
s]
[INFO] Apache Tika eval ................................... SUCCESS [ 24.480
s]
[INFO] Apache Tika ........................................ SUCCESS [ 0.022
s]
[INFO]
------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO]
------------------------------------------------------------------------
[INFO] Total time: 07:48 min
[INFO] Finished at: 2017-05-03T13:03:29-07:00
[INFO] Final Memory: 164M/1530M
[INFO]
------------------------------------------------------------------------
LMC-053601:tika-gh mattmann$
```
I also tried it myself on the following file:
`sample.sent`
```
Man I'm so tired of battling against OSGI!
```
`sample2.sent`
```
Whatever, I need some cooling off time!
```
# Binary sentiment
```
LMC-053601:tika-gh mattmann$ java -jar
tika-app/target/tika-app-1.15-SNAPSHOT.jar \
>
--config=tika-parsers/src/test/resources/org/apache/tika/parser/sentiment/analysis/tika-config-sentiment-opennlp.xml
\
> -m sample.sent
WARN JBIG2ImageReader not loaded. jbig2 files will be ignored
INFO Sentiment Model is at
https://raw.githubusercontent.com/USCDataScience/SentimentAnalysisParser/master/sentiment-models/en-netflix-sentiment.bin
Content-Length: 43
Content-Type: application/sentiment
Sentiment: negative
X-Parsed-By: org.apache.tika.parser.CompositeParser
X-Parsed-By: org.apache.tika.parser.sentiment.analysis.SentimentParser
resourceName: sample.sent
LMC-053601:tika-gh mattmann$
```
# Categorical (multi-class sentiment)
Changing to use `sample2.sent`
```
LMC-053601:tika-gh mattmann$ java -jar
tika-app/target/tika-app-1.15-SNAPSHOT.jar
--config=tika-parsers/src/test/resources/org/apache/tika/parser/sentiment/analysis/tika-config-sentiment-opennlp-cat.xml
-m sample2.sent
WARN JBIG2ImageReader not loaded. jbig2 files will be ignored
INFO Sentiment Model is at
https://raw.githubusercontent.com/USCDataScience/SentimentAnalysisParser/master/sentiment-models/ht-sentiment-categ.bin
Content-Length: 39
Content-Type: application/sentiment
Sentiment: angry
X-Parsed-By: org.apache.tika.parser.CompositeParser
X-Parsed-By: org.apache.tika.parser.sentiment.analysis.SentimentParser
resourceName: sample2.sent
LMC-053601:tika-gh mattmann$
```
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> A parser that combines Apache OpenNLP and Apache Tika and provides facilities
> for automatically deriving sentiment from text.
> -----------------------------------------------------------------------------------------------------------------------------
>
> Key: TIKA-2016
> URL: https://issues.apache.org/jira/browse/TIKA-2016
> Project: Tika
> Issue Type: New Feature
> Components: parser
> Reporter: Anastasija Mensikova
> Assignee: Chris A. Mattmann
> Labels: analysis, gsoc2016, memex, parser, sentiment
> Fix For: 1.15
>
>
> A new project that implements a parser that uses Apache OpenNLP and Apache
> Tika to perform Sentiment Analysis.
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