Tài liệu Báo cáo khoa học: "Identifying Text Polarity Using Random Walks" pptx
Tài liệu Báo cáo khoa học: "Identifying Text Polarity Using Random Walks" pptx
... because identi-
fying the polarity of text is the natural next step
that should follow identifying subjective text.
3 Word Polarity
We use a Markov random walk model to identify
polarity of words. Assume ... (2005; 2006) use a textual representation of
words by collating all the glosses of the word as
found in some dictionary. Then, a binary text clas-
sifier is trained using t...
Tài liệu Báo cáo khoa học: "Answering Opinion Questions with Random Walks on Graphs" docx
... weighted sum, or removed candidates
that didn’t match the polarity of questions, in order
to extract the opinion answers.
Algorithms based on Markov Random Walk
have been proposed to solve different ... process. Every question is scored
using nugget recall (NR) and an approximation to
nugget precision (NP) based on length. The final
score will be calculated using F measure with TAC
offi...
Tài liệu Báo cáo khoa học: "Generating research websites using summarisation techniques" pptx
... 5–8,
Columbus, June 2008.
c
2008 Association for Computational Linguistics
Generating research websites using summarisation techniques
Advaith Siddharthan & Ann Copestake
Natural Language and Information ... stylesheets are often considered inappropriate
for diverse organisations.
Research summary pages using stylesheets can
offer alternative methods of information access and
browsin...
Tài liệu Báo cáo khoa học: "Identifying Noun Product Features that Imply Opinions" pdf
... Handing Context-Dependent Opinions
As mentioned earlier, context-dependent opinion
words (only adjectives and adverbs) must be
determined by its contexts. We solve this problem
by using the ...
Nasukawa (2006) improved this work by using the
idea of coherency. They deal with both adjectives
and verbs. Ding et al. (2008) introduced the
concept of feature context because the polarit...
Tài liệu Báo cáo khoa học: "Identifying Sarcasm in Twitter: A Closer Look" docx
... accuracy when trying to clas-
sify sarcastic tweets; we therefore argue that using
the tweets labeled by their authors using hashtag
produces a better quality gold standard. We used a
Twitter ... tweets as well as the lack of expli-
cit context makes this classification task quite dif-
ficult. In future work, we plan to investigate the
impact of contextual features such as common
gro...
Tài liệu Báo cáo khoa học: "Identifying the Semantic Orientation of Foreign Words" pdf
... arabic. In Arabic NLP/MT Confer-
ence.
Ahmed Hassan and Dragomir Radev. 2010. Identifying
text polarity using random walks. In ACL’10.
Ahmed Hassan, Vahed Qazvinian, and Dragomir Radev.
2010. What’s ... on identifying
text that presents opinion as opposed to objective
text that presents factual information (Wiebe, 2000).
Some approaches to subjectivity analysis disregard
the conte...
Tài liệu Báo cáo khoa học: "Hierarchical Text Classification with Latent Concepts" doc
... shown
that most of these methods are quite effective in tra-
ditional text classification applications.
In past serval years, hierarchical text classification
has become an active research topic in database ... Section 4 gives experimental analysis. Section 5
concludes the paper.
2 Hierarchical Text Classification
In text classification, the documents are often rep-
resented with vector s...
Tài liệu Báo cáo khoa học: "Identifying Linguistic Structure in a Quantitative Analysis of Dialect Pronunciation" docx
... aligned and
compared using L04.
1
Results were analyzed using
cluster analysis, composite clustering, and multidi-
mensional scaling. The analyses showed that results
obtained using aggregate analysis ... differences, since
there was high correlation between differences ob-
tained only by using vowels and by using complete
transcriptions (r = 0.936). Two ways of aggregate
analysis a...
Tài liệu Báo cáo khoa học: "Identifying Agreement and Disagreement in Conversational Speech: Use of Bayesian Networks to Model Pragmatic Dependencies" docx
... feasible task when var-
ious textual, durational, and acoustic features are
available. We build on their approach and show
that we can get an improvement in accuracy when
contextual information is ... per-
son once in the conversation, is he more likely to
disagree with him again? We model context using
Bayesian networks that allows capturing of these
pragmatic dependencies. Our accuracy fo...
Tài liệu Báo cáo khoa học: "A Text Input Front-end Processor as an Information Access Platform" doc
...
English.
1. Introduction
When creating text using word processing
software on a personal computer, it is common to
refer to books or documents relevant to the text,
including various kinds of dictionaries ...
sentences. Users can easily send these sentences
to text- input applications by drag-and-drop
operation using a mouse. In addition, by using
"Eisaku Pen", u...