派博傳思國際中心

標(biāo)題: Titlebook: Computational Linguistics and Intelligent Text Processing; 14th International C Alexander Gelbukh Conference proceedings 2013 Springer-Verl [打印本頁]

作者: 街道    時間: 2025-3-21 19:44
書目名稱Computational Linguistics and Intelligent Text Processing影響因子(影響力)




書目名稱Computational Linguistics and Intelligent Text Processing影響因子(影響力)學(xué)科排名




書目名稱Computational Linguistics and Intelligent Text Processing網(wǎng)絡(luò)公開度




書目名稱Computational Linguistics and Intelligent Text Processing網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Computational Linguistics and Intelligent Text Processing被引頻次




書目名稱Computational Linguistics and Intelligent Text Processing被引頻次學(xué)科排名




書目名稱Computational Linguistics and Intelligent Text Processing年度引用




書目名稱Computational Linguistics and Intelligent Text Processing年度引用學(xué)科排名




書目名稱Computational Linguistics and Intelligent Text Processing讀者反饋




書目名稱Computational Linguistics and Intelligent Text Processing讀者反饋學(xué)科排名





作者: 斜坡    時間: 2025-3-21 22:10

作者: alcohol-abuse    時間: 2025-3-22 00:38
Lili Yang,Soyoung Lee,Yusuf Ikbal Oldac interact better with users. Nevertheless, it seems that no previous published study has assessed whether the position of individual texts within on-going communication can be exploited to help detect their sentiments. This article assesses apparent sentiment anomalies in on-going communication – te
作者: Conspiracy    時間: 2025-3-22 04:33
Lili Yang,Soyoung Lee,Yusuf Ikbal Oldactext contents and extract the opinion of the users. In this paper, . and .-. are extracted from the text, and composite features are created using them. Part of Speech (POS) based features adjectives and adverbs are also extracted. Information Gain (IG) and Minimum Redundancy Maximum Relevancy (mRMR
作者: Malcontent    時間: 2025-3-22 09:25

作者: mortuary    時間: 2025-3-22 13:20

作者: mortuary    時間: 2025-3-22 18:37
Sandra Hummel,Mana-Teresa Donneruch applications. This growing demand is supported by an increasing amount and availability of opinionated online information, mainly due to the proliferation and popularity of social media. The majority of work in sentiment analysis considers the polarity of word terms rather than the polarity of s
作者: Stricture    時間: 2025-3-22 23:14

作者: 抱怨    時間: 2025-3-23 03:41
Sandra Hummel,Mana-Teresa Donnerlysis. In this paper, we propose a multilingual approach for word polarity detection. We construct a word relatedness graph by using the relations in WordNet of a given language. We extend the graph by connecting the WordNets of different languages with the help of the Inter-Lingual-Index based on E
作者: ostrish    時間: 2025-3-23 09:30

作者: occurrence    時間: 2025-3-23 10:49

作者: ASTER    時間: 2025-3-23 16:46

作者: 強(qiáng)制性    時間: 2025-3-23 19:14
,Male Consumption and Students’ Tastes,ined by Ekman, we classify emotions according to a set of eight basic . emotions defined by Plutchik (Plutchik’s “wheel of emotions”). This allows us to treat the inherently multi-class problem of emotion classification as a binary problem for four opposing emotion pairs. Our approach applies ., whi
作者: motivate    時間: 2025-3-24 01:15
Student Debt: Good, Bad, and Misunderstood, a target word (a word being considered for inclusion in the lexicon), our proposed approach uses the frequencies, counts or unique words around it within the trigrams from the Google n-gram corpus. The approach was tuned using as training lexicon, a subset of the National Research Council of Canada
作者: Hyaluronic-Acid    時間: 2025-3-24 04:18

作者: Cerumen    時間: 2025-3-24 07:39

作者: 小樣他閑聊    時間: 2025-3-24 12:34

作者: oblique    時間: 2025-3-24 15:04

作者: FIS    時間: 2025-3-24 22:09
Critical, Contemplative Community Engagementmajority of the comparative studies in this field focus on analyzing fixed (offline) collections from certain domains, genres, or topics. In this paper, we present an online system for opinion mining and retrieval that is able to discover up-to-date web pages on given topics using focused crawling a
作者: Expiration    時間: 2025-3-25 03:04

作者: Adenoma    時間: 2025-3-25 05:57

作者: 縫紉    時間: 2025-3-25 09:51
Measuring the Effect of Discourse Structure on Sentiment Analysisxtent these effects depend on the corpus genre. Using Segmented Discourse Representation Theory as our formal framework, we propose several strategies to compute the overall rating. Our results show that discourse-based strategies lead to better scores in terms of accuracy and Pearson’s correlation than state-of-the-art approaches.
作者: 暗語    時間: 2025-3-25 11:59
Alexander GelbukhUp-to-date results in computational linguistics and intelligent text processing.Fast-track conference proceedings.State-of-the-art research
作者: Conjuction    時間: 2025-3-25 16:04
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232604.jpg
作者: 進(jìn)取心    時間: 2025-3-25 22:26

作者: Irrigate    時間: 2025-3-26 01:00
978-3-642-37255-1Springer-Verlag Berlin Heidelberg 2013
作者: 人類    時間: 2025-3-26 04:28

作者: 極大痛苦    時間: 2025-3-26 10:20

作者: Monotonous    時間: 2025-3-26 16:28

作者: PUT    時間: 2025-3-26 20:45
Viability of Machine Translation for Cross Language Sentiment Analysisin resource deprived languages. The idea is to use the annotated resources of one language (say, ..) for performing Sentiment Analysis in another language (say, ..) which does not have annotated resources. The success of such a scheme crucially depends on the availability of a MT system between .. a
作者: 斷斷續(xù)續(xù)    時間: 2025-3-27 00:50
An Enhanced Semantic Tree Kernel for Sentiment Polarity Classificationuch applications. This growing demand is supported by an increasing amount and availability of opinionated online information, mainly due to the proliferation and popularity of social media. The majority of work in sentiment analysis considers the polarity of word terms rather than the polarity of s
作者: URN    時間: 2025-3-27 04:06
Combining Supervised and Unsupervised Polarity Classification for non-English Reviewsining data are provided and the unsupervised methods are usually applied when linguistic resources are available and training data are not provided. Each one of them has its own advantages and disadvantages and for this reason we propose the use of meta-classifiers that combine both of them in order
作者: Statins    時間: 2025-3-27 06:01
Word Polarity Detection Using a Multilingual Approachlysis. In this paper, we propose a multilingual approach for word polarity detection. We construct a word relatedness graph by using the relations in WordNet of a given language. We extend the graph by connecting the WordNets of different languages with the help of the Inter-Lingual-Index based on E
作者: 價值在貶值    時間: 2025-3-27 11:31

作者: calorie    時間: 2025-3-27 13:45
Cross-Lingual?Projections vs. Corpora?Extracted Subjectivity?Lexicons for Less-Resourced?Languagesusing subjectivity lexicons. However, most of these kinds of resources are often available only for English or other major languages. This work analyses two strategies for building subjectivity lexicons in an automatic way: by projecting existing subjectivity lexicons from English to a new language,
作者: PHON    時間: 2025-3-27 20:53

作者: 半身雕像    時間: 2025-3-27 22:25
Distant Supervision for Emotion Classification with Discrete Binary Valuesined by Ekman, we classify emotions according to a set of eight basic . emotions defined by Plutchik (Plutchik’s “wheel of emotions”). This allows us to treat the inherently multi-class problem of emotion classification as a binary problem for four opposing emotion pairs. Our approach applies ., whi
作者: ARM    時間: 2025-3-28 02:22
Using Google n-Grams to Expand Word-Emotion Association Lexicon a target word (a word being considered for inclusion in the lexicon), our proposed approach uses the frequencies, counts or unique words around it within the trigrams from the Google n-gram corpus. The approach was tuned using as training lexicon, a subset of the National Research Council of Canada
作者: atrophy    時間: 2025-3-28 08:36
A Joint Prediction Model for Multiple Emotions Analysis in Sentences the single emotion analysis through texts, our work can better reflect people’s inner thoughts by predicting all the possible emotions. We first predict the multiple emotions of words from a CRF model, which avoids the restrictions from traditional emotion lexicons with limited resources and restri
作者: assent    時間: 2025-3-28 13:40

作者: 審問    時間: 2025-3-28 17:38
Chinese Emotion Lexicon Developing via Multi-lingual Lexical Resources Integrationurce developed on WordNet. The approach consists of three steps, namely translation, filtering and extension. Initially, all English words in WordNet-Affect synsets are translated into Chinese words. Thereafter, with the help of Chinese synonyms dictionary (Tongyici Cilin), we build a bilingual undi
作者: 子女    時間: 2025-3-28 19:19
N-Gram-Based Recognition of Threatening Tweetshe single tweet (without further context) and using only very simple recognition features, namely n-grams. We present two different methods of n-gram-based recognition, one based on manually constructed n-gram patterns and the other on machine learned patterns. Our evaluation is not restricted to pr
作者: Microgram    時間: 2025-3-29 00:36
Distinguishing the Popularity between Topics: A System for Up-to-Date Opinion Retrieval and Mining imajority of the comparative studies in this field focus on analyzing fixed (offline) collections from certain domains, genres, or topics. In this paper, we present an online system for opinion mining and retrieval that is able to discover up-to-date web pages on given topics using focused crawling a
作者: 變化無常    時間: 2025-3-29 04:32

作者: sphincter    時間: 2025-3-29 09:49
Domain Adaptation in Statistical Machine Translation Using Comparable Corpora: Case Study for Englisplied not only to widely used language pairs, but also to under-resourced languages. However, under-resourced languages and narrow domains face the problem of insufficient parallel data for building SMT systems of reasonable quality for practical applications. In this paper we show how broad domain
作者: 野蠻    時間: 2025-3-29 15:28
Damping Sentiment Analysis in Online Communication: Discussions, Monologs and Dialogsxts assigned significantly different sentiment strength to the average of previous texts – to see whether their classification can be improved. The results suggest that a damping procedure to reduce sudden large changes in sentiment can improve classification accuracy but that the optimal procedure will depend on the type of texts processed.
作者: 菊花    時間: 2025-3-29 17:55
Predicting Subjectivity Orientation of Online Forum Threads improve information search in online forums. In this paper, we study methods to analyze subjectivity of online forum threads. We build binary classifiers on textual features extracted from thread content to classify threads as subjective or non-subjective. We demonstrate the effectiveness of our methods on two popular online forums.
作者: N斯巴達(dá)人    時間: 2025-3-29 21:06
No Free Lunch in Factored Phrase-Based Machine Translatione, guiding the search is difficult due to small differences between systems, which are further blurred by randomness in tuning. We describe a heuristic for estimating the complexity of factored models. Finally, we discuss the possibilities of a “semi-automatic” exploration of the space in several directions and evaluate the obtained systems.
作者: Nucleate    時間: 2025-3-30 02:19

作者: Figate    時間: 2025-3-30 04:36

作者: FLIT    時間: 2025-3-30 09:18
George M Jacobs,Willy A Renandyarieval of conversations having segments with anger and tension. Their precision is high enough for use in real world systems and the ranking evaluated by mean precision follows the usual relevance behavior of a search engine.
作者: vitreous-humor    時間: 2025-3-30 12:39
Student Loans: An Awkward Subject,tively interact with semantic features. In addition, we show how the three datasets can hardly be combined to learn more robust models, due to inherent differences in the linguistic properties of the texts or in the annotation.
作者: tackle    時間: 2025-3-30 19:13

作者: lethal    時間: 2025-3-30 23:39

作者: IST    時間: 2025-3-31 04:07

作者: Dysplasia    時間: 2025-3-31 09:00

作者: conflate    時間: 2025-3-31 11:11

作者: 欲望小妹    時間: 2025-3-31 14:12
Critical, Contemplative Community Engagemente, guiding the search is difficult due to small differences between systems, which are further blurred by randomness in tuning. We describe a heuristic for estimating the complexity of factored models. Finally, we discuss the possibilities of a “semi-automatic” exploration of the space in several directions and evaluate the obtained systems.
作者: 無關(guān)緊要    時間: 2025-3-31 18:07

作者: 熱烈的歡迎    時間: 2025-3-31 21:44
George M Jacobs,Willy A Renandyar a less-resourced language (Basque). The lexicons are evaluated in an extrinsic manner by classifying subjective and objective text units belonging to various domains, at document- or sentence-level. A manual intrinsic evaluation is also provided which consists of evaluating the correctness of the words included in the created lexicons.
作者: 有花    時間: 2025-4-1 04:20

作者: Somber    時間: 2025-4-1 06:11

作者: Entirety    時間: 2025-4-1 12:14
Critical, Contemplative Community Engagement-world case studies, demonstrates that is appropriate for opinion comparison between topics, since it provides useful indications on the popularity based on a relatively small amount of web pages. Moreover, it can produce genre-aware results of opinion retrieval, a valuable option for decision-makers.
作者: bourgeois    時間: 2025-4-1 15:42

作者: 異端    時間: 2025-4-1 22:06
Cross-Lingual?Projections vs. Corpora?Extracted Subjectivity?Lexicons for Less-Resourced?Languagesr a less-resourced language (Basque). The lexicons are evaluated in an extrinsic manner by classifying subjective and objective text units belonging to various domains, at document- or sentence-level. A manual intrinsic evaluation is also provided which consists of evaluating the correctness of the words included in the created lexicons.




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