By Rocío Alaiz-Rodríguez (auth.), Sabine Bergler (eds.)
This ebook constitutes the refereed complaints of the twenty first convention of the Canadian Society for Computational reports of Intelligence, Canadian AI 2008, held in Windsor, Canada, in may well 2008.
The 30 revised complete papers provided including five revised brief papers have been conscientiously reviewed and chosen from seventy five submissions. The papers current unique top quality examine in all components of synthetic Intelligence and observe old AI strategies to fashionable challenge domain names in addition to fresh thoughts to old challenge settings.
Read Online or Download Advances in Artificial Intelligence: 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008 Windsor, Canada, May 28-30, 2008 Proceedings PDF
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Extra resources for Advances in Artificial Intelligence: 21st Conference of the Canadian Society for Computational Studies of Intelligence, Canadian AI 2008 Windsor, Canada, May 28-30, 2008 Proceedings
Make a popular word set composed of the top N adjectives and adverbs. Traverse all of the blogs in the experimental set to create the following features: (a) Number of positive words (b) Number of negative words (c) Number of negating words (d) Presence, absence or frequency of each word in the popular word set (N words) For the generation of feature vectors, we re-used some of the methods outlined in the previous section. We investigated the following four feature sets: 1. A ﬁxed number of the most frequently occurring popular words (or unigrams), each of which is assigned an integer value representing the frequency of the word in the blog post.
A Comparison of Sentiment Analysis Techniques: Polarizing Movie Blogs 29 We investigated ﬁve variants of the lexical approach. 1. In the baseline approach, the dictionary is limited to a ﬁxed number of positively and negatively tagged words. 2. To determine the eﬀects of stemming on the classiﬁcation accuracy, we applied a stemmer to each of the words in the dictionary (thereby increasing the size of the dictionary), as well as to each token in the blog post. 3. Because the dictionary does not contain ‘slang’ words, a part-of-speech tagger was applied to the blogs in the development set to search for ‘slang’ adjectives and adverbs.
Corollary 5. If Γ is a set of clauses, then – Γ |=dH,f ψ iﬀ Γ |=dU,f ψ for every aggregation f and formula ψ, – Γ |=dH,max ψ iﬀ Γ Sumax ψ. Proof. The ﬁrst item follows from Lemma 2 and Proposition 8; the second item follows from the ﬁrst item and Proposition 7. For 1-validated premises we therefore have a sound and complete proof system. The remainder of this section deals with the other cases. Deﬁnition 12. For μ ∈ Λ, denote by Diﬀ(μ, i) the set of valuations diﬀering from μ in exactly i atoms.