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Found 12 papers, 2 papers with code
Using WordNet to Build Lexical Sets for Italian Verbs
We present a methodology for building lexical sets for argument slots of Italian verbs.
LibertyMFD: A Lexicon to Assess the Moral Foundation of Liberty
The LibertyMFD dictionary can be a valuable tool for policymakers to understand diverse viewpoints on controversial social issues such as vaccination, abortion, or even uprisings, as they happen and on a large scale.
MoralStrength: Exploiting a Moral Lexicon and Embedding Similarity for Moral Foundations Prediction
In this study, we present MoralStrength, a lexicon of approximately 1, 000 lemmas, obtained as an extension of the Moral Foundations Dictionary, based on WordNet synsets.
Template-based multilingual football reports generation using Wikidata as a knowledge base
This paper presents a new version of a football reports generation system called PASS.
DepecheMood++: a Bilingual Emotion Lexicon Built Through Simple Yet Powerful Techniques
Several lexica for sentiment analysis have been developed and made available in the NLP community.
Fortia-FBK at SemEval-2017 Task 5: Bullish or Bearish? Inferring Sentiment towards Brands from Financial News Headlines
In this paper, we describe a methodology to infer Bullish or Bearish sentiment towards companies/brands.
To Sing like a Mockingbird
Musical parody, i. e. the act of changing the lyrics of an existing and very well-known song, is a commonly used technique for creating catchy advertising tunes and for mocking people or events.
SentiWords: Deriving a High Precision and High Coverage Lexicon for Sentiment Analysis
Using this technique we have built SentiWords, a prior polarity lexicon of approximately 155, 000 words, that has both a high precision and a high coverage.
Creative language explorations through a high-expressivity N-grams query language
In computation linguistics a combination of syntagmatic and paradigmatic features is often exploited.
Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet
Assigning a positive or negative score to a word out of context (i. e. a word's prior polarity) is a challenging task for sentiment analysis.
