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Related research for sentiment analysis on Chinese microblog is aiming at analyzing the emotion of posters. This paper presents a content extension method that combines post with its' comments into a microblog conversation for sentiment analysis. A new convolutional auto encoder which can extract contextual sentiment information from microblog conversation of the post is proposed. Furthermore, a DBN...
Indoor localization of smart hand-held devices is essential for location-based services of pervasive applications. The previous research mainly focuses on exploring wireless signal fingerprints for this purpose, and several shortcomings need to be addressed first before real-world usage, e.g., demanding a large number of access points or labor-intensive site survey. In this paper, through a systematic...
With the growth of the Internet and electronic commerce, there is more and more review data on the Internet. Quite a lot of Internet users refer to related comments of a product before they make a decision, which can teach them about the quality and reputation of the product and help them decide whether to buy it. A system that can automatically classify the polarity of a given text would be a great...
In order to overcome the one-sidedness and limitations of a single subspace in feature extraction and classification, we propose a face recognition method that extracts features in double complementary space and utilize multi-decision for classification. In the feature extraction stage, we use ICA and LPE algorithm as the first layer in complementary space to extract global and local features of the...
With plenty of online resources constantly increasing (like weblog, product reviews, news reviews, etc.), it is difficult to read them and obtain the useful information, especially emotion information. The emotion analysis on internet online information has received much attention from natural language processing field in recent years. In most existing works, single-label emotion analysis have been...
A considerable amount of research work has been done for facial expression recognition using local or global feature extraction methods. Weber Local Descriptor (WLD), a simple and robust local image descriptor, is recently developed for local feature extraction. In facial expression recognition, the information contained in the local is important for the recognition result. The Histograms of Oriented...
Recently, research about social networks has attracted tremendous interests. It can be considered that the links of online social networks describe the relationships between individuals. Analyzing online data from social networks provides opportunities for extracting attributes of sentimental influence, which also helps to get over the corner of current research on sentiment analysis. In this paper...
Due to a limited coverage of the existing bilingual dictionary, it is often difficult to translate the Out-Of-Vocabulary terms (OOV) in many natural language processing tasks. In this paper, we propose a general cascade mining technique of three steps, it leverages OOV category to optimize the effectiveness of each step. OOV category based expansion policy is suggested to get more relevant mixed-language...
In this paper, we propose a novel information retrieval approach based on the pragmatic information for Chinese patents. At present, patent retrieval is becoming more and more important. Not only because patents are always can an important resource in all kinds of field, but patent retrieval save a great deal of time and funds for corporations and researchers. However, with available methods the precision...
In recent years, researchers have begun to pay more attention to the emotion recognition in natural language processing. In order to help this pursuit, this paper proposes a semi-automatic approach to create a Chinese emotion thesaurus with tag of emotion intensity based on two kinds of language resources HowNet and Tongyici Cilin. As a basic emotion resource, the emotion thesaurus should be used...
Sentence similarity computing plays an important role in the nature language processing. Many different methods are proposed to calculate sentence similarity including word, semantic, syntax and so on. In this paper, we proposed a sentence similarity method for travel question answering system by combining the word context information and semantic similarity together. We searched a series of context...
In order to investigate the picture superiority effect, we compared the ERP between picture combined word (picture-word) and pure word (word) at study and test phase. During encoding, the FN400 was more negative and lasted longer for picture-words than for words. The late positive component (LPC) was more positive and distributed broadly for words compared to picture-words. During retrieval, the old...
There are lots of negative sentences in both Japanese and Chinese, which are varing from meanings and phrasings. Especially the negative sentences always express complex relationships in Chinese language. So it is easy to make ambiguity when translating Japanese into Chinese. At present, it's very common that the translation softwares sold on the market make errors due to wrong translation of the...
Sentence similarity computing plays an important role in the question answering (QA) system. Because there are many question expressions for one meaning, we present a new approach to match question based on fuzzy set. In this paper, we establish a library of standard questions. Each standard question is relative with a series of Keywords. The main focus of this paper lies with matching of standard...
This paper proposes an novel approach to annotate function tags for unparsed text. What distinguishes our work from other attempts in such task is that we assign function tags directly basing on lexical information other than on parsed trees. In order to demonstrate the effectiveness and versatility of our method, we investigate two statistical models for automatic annotation, one is log-linear maximum...
In this paper, we pay attention to the Chinese separable verb-object words in sentences. We collect sentences with morphemes of separable words employing search engine for thousands of separable words collected by linguist. Then sentences are tagged artificially with agreement of whether being used separable words on the result of word segmentation and part-of-speech tagging, According to typical...
We propose a novel, convenient way for the building of emotion thesaurus which can be used in assessing the affective qualities of natural languages contained in text. Our main goals are fast analysis and visualization of affective content for machines to communicate smoothly with humans and to realize emotion communications. Although there have been some studies about analyzing affective content...
Affective computing is attracting attentions as a popular growing field with many applications such as Kansei engineering, information retrieval and HCI. But until now the study of fine-grained theory of emotion is still a challenge. In this paper, a novel method to analyze emotion category is proposed according to the statistics of affective property in Dictionary of contemporary Chinese. These emotion...
The size and growth rate of biomedical abbreviation are increasing very fast, automatic construction of biomedical abbreviations dictionary from text helps to understand biomedical literature, and to update existing databases, ontologies, and dictionaries. This paper proposes a new method for automatic construction of biomedical abbreviations dictionary from text by combining string matching algorithm...
Notice of Violation of IEEE Publication Principles"A Foundation for Knowledge System with Application in Information Retrieval and Knowledge Acquisition," by Zhi Teng, Ye Liu, Fuji Ren,in the Proceedings of the International Conference on Natural Language Processing and Knowledge Engineering, 2008. NLP-KE '08, Oct. 2008After careful and considered review of the content and authorship of...
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