Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
732
Lexicon-Based Methods for Sentiment Analysis
"... We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity classific ..."
Abstract
-
Cited by 182 (13 self)
- Add to MetaCart
We present a lexicon-based approach to extracting sentiment from text. The Semantic Orientation CALculator (SO-CAL) uses dictionaries of words annotated with their semantic orientation (polarity and strength), and incorporates intensification and negation. SO-CAL is applied to the polarity
A Comparison of Chinese Word Segmentation on News and Microblog Corpora with a Lexicon Based Method
"... Microblog is a new and important social media nowadays. Can traditional methods deal well with Chinese microblog word segmentation? We adopt the forward maximum matching (FMM) method and design rules to recognize words with non-Chinese characters. We focus on comparing results between news text and ..."
Abstract
- Add to MetaCart
and microblog. The lexicon based method allows us to investigate well new words emerging in microblog by comparing with lexicon words. Experimental results show that the performance on microblog outperforms that on news text under the same setup, which may be a signal that microblog word segmentation
Bias-Aware Lexicon-Based Sentiment Analysis
"... Sentiment analysis of textual content is widely used for auto-matic summarization of opinions and sentiments expressed by people. With the growing popularity of social media and user-generated content, efficient and effective sentiment analysis is critical to businesses and governments. Lexicon-base ..."
Abstract
- Add to MetaCart
be combined with any lexicon-based method to make it bias-aware. BAT is motivated from cost-sensitive learning where the prediction threshold is changed to reduce prediction error bias. We formally define bias in polarity pre-dictions and present a measure for quantifying it. We eval-uate BAT in combination
A Holistic Lexicon-Based Approach to Opinion Mining
, 2008
"... One of the important types of information on the Web is the opinions expressed in the user generated content, e.g., customer reviews of products, forum posts, and blogs. In this paper, we focus on customer reviews of products. In particular, we study the problem of determining the semantic orientati ..."
Abstract
-
Cited by 186 (11 self)
- Add to MetaCart
are words that express desirable (e.g., great, amazing, etc.) or undesirable (e.g., bad, poor, etc) states. These approaches, however, all have some major shortcomings. In this paper, we propose a holistic lexicon-based approach to solving the problem by exploiting external evidences and linguistic
The Generative Lexicon
- Computational Linguistics
, 1991
"... this paper, I will discuss four major topics relating to current research in lexical semantics: methodology, descriptive coverage, adequacy of the representation, and the computational usefulness of representations. In addressing these issues, I will discuss what I think are some of the central prob ..."
Abstract
-
Cited by 1341 (45 self)
- Add to MetaCart
into the larger lexical knowledge base through a theory of lexical inheritance. This provides us with the necessary principles of global organization for the lexicon, enabling us to fully integrate our natural language lexicon into a conceptual whole
Wordsyoudontknow: Evaluation of lexicon-based decompounding with unknown handling
"... In this paper we present a cross-linguistic evaluation of a lexicon-based decomposition method for decompounding, augmented with a “guesser ” for unknown components. Using a gold standard test set, for which the correct decompositions are known, we optimize the method’s parameters and show correlati ..."
Abstract
- Add to MetaCart
In this paper we present a cross-linguistic evaluation of a lexicon-based decomposition method for decompounding, augmented with a “guesser ” for unknown components. Using a gold standard test set, for which the correct decompositions are known, we optimize the method’s parameters and show
Lexicon-based Browsers for Searching in News Video Archives
"... In this paper we present the methods and visualizations used in the MediaMill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon of 101 concepts. To support the user in navigating the collection, the system defines a visual similarity space, a semant ..."
Abstract
- Add to MetaCart
In this paper we present the methods and visualizations used in the MediaMill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon of 101 concepts. To support the user in navigating the collection, the system defines a visual similarity space, a
Simpler is Better? Lexicon-based Ensemble Sentiment Classification Beats Supervised Methods
"... Abstract—It has been shown in this paper that simplistic Bag of Words (BoW) lexicon methods for sentiment polarity assignment with ensemble classifiers are much faster than a supervised approach to sentiment classification while yielding similar accuracy. BoW methods also proved to be efficient and ..."
Abstract
- Add to MetaCart
Abstract—It has been shown in this paper that simplistic Bag of Words (BoW) lexicon methods for sentiment polarity assignment with ensemble classifiers are much faster than a supervised approach to sentiment classification while yielding similar accuracy. BoW methods also proved to be efficient
CityU-DAC: Disambiguating Sentiment-Ambiguous Adjectives within Context
"... This paper describes our system participating in task 18 of SemEval-2010, i.e. disambiguating Sentiment-Ambiguous Adjectives (SAAs). To disambiguating SAAs, we compare the machine learning-based and lexiconbased methods in our submissions: 1) Maximum entropy is used to train classifiers based on the ..."
Abstract
-
Cited by 1 (0 self)
- Add to MetaCart
on the annotated Chinese data from the NTCIR opinion analysis tasks, and the clause-level and sentence-level classifiers are compared; 2) For the lexicon-based method, we first classify the adjectives into two classes: intensifiers (i.e. adjectives intensifying the intensity of context) and suppressors (i
Smoothing a Lexicon-based POS Tagger for Arabic and Hebrew
"... We propose an enhanced Part-of-Speech (POS) tagger of Semitic languages that treats Modern Standard Arabic (henceforth Arabic) and Modern Hebrew (henceforth Hebrew) using the same probabilistic model and architectural setting. We start out by porting an existing Hidden Markov Model POS tagger for He ..."
Abstract
-
Cited by 7 (2 self)
- Add to MetaCart
of such analyzer-based tagging methods is hindered by the incomplete coverage of standard morphological analyzer (Bar Haim et al., 2005). To overcome this coverage problem we supplement the output of Buckwalter's analyzer with synthetically constructed analyses that are proposed by a model which uses
Results 1 - 10
of
732
