Assessment of historical figures using BabelNet - BabelNet Workshop... · Assessment of historical...
Transcript of Assessment of historical figures using BabelNet - BabelNet Workshop... · Assessment of historical...
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Assessment of historical figures using BabelNet
Szymon Roziewski, Maciej Kowalski
National Information Processing Institute, Natural Language Processing Laboratory, Warsaw
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Motivation
l Building a simple Sentiment Analysis System.
l Providing sentiment analysis of
famous people based on
BabelNet synsets. Actually, they could
be fictional.
l To have some fun :)
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Motivation
Why assessment of historical figures ?l To get a fast sentiment feedback
about people playing a role in History.
l Resulting sentiment might be useful
for another purposes: search
engines, marketing companies etc.
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Method
l We used BabelNet for the core fo the system
l BabelNet provides synset tree for a given entity
l Each tree leaf carries short gloss of its own definition
l We collect closest synsets to build a small corpus of text
surrounding given term
l We perform sentiment analysis based on sentiment dictionaries:
– lexicon dictionary
– SentiWordNet
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BabelNet
l Huge multilingual encyclopedic dictionary and
ontology
l Offers a large network of concepts and named
entities with multilingual lexical coverage
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Sentiment Dictionaries
l Lexicon Dictionary – lexicon built at University of Illinois Chicago
It is divided into positive and negative words
l SentiWordNet (Princeton) – a list of
words described by two real numbers:
the positive and negative impact
Basic forms of words obtained by using
morfologik library.
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BabelNet query for Julius Caesar
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BabelNet query for Julius Caesar
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BabelNet query for Julius Caesar
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Sentiment Analysis of Julius Caesar
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Implementation
l The process has been automated by using Java along with
BabelNet API, for quering the semantic network.
l Parameters used for the synset selection:
– language = EN
– BabelPOS = NOUN
– BabelSenseSource = WIKIDATA
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Sentiment Analysis Results
Historical Figure Positive impact Negative impact
Albert Einstein 0.523 0.477
Isaac Newton 0.7 0.3
Al Capone 0.304 0.696
Marylin Monroe 0.602 0.398
Billy the Kid 0.601 0.399
Julius Caesar 0.6 0.4
Cinderella 0.4776 0.5224
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Future Work
l There were no gold-standard sets to compare with, we assume
such method can be developed further.
l Implementing disambiguating mechanism in order to select the
exact synset carrying glosses related to historical figure in
question.
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Ośrodek Przetwarzania InformacjiPaństwowy Instytut Badawczy
al. Niepodległości 188 b00-608 Warszawa
tel.: +48 22 570 14 00e-mail: [email protected]
Thank you!