Characters-based sentiment identification method for short and informal Chinese text

2018 ◽  
Vol 46 (1) ◽  
pp. 57-66 ◽  
Author(s):  
Qiujun Lan ◽  
Haojie Ma ◽  
Gang Li

Purpose Sentiment identification of Chinese text faces many challenges, such as requiring complex preprocessing steps, preparing various word dictionaries carefully and dealing with a lot of informal expressions, which lead to high computational complexity. Design/methodology/approach A method based on Chinese characters instead of words is proposed. This method represents the text into a fixed length vector and introduces the chi-square statistic to measure the categorical sentiment score of a Chinese character. Based on these, the sentiment identification could be accomplished through four main steps. Findings Experiments on corpus with various themes indicate that the performance of proposed method is a little bit worse than existing Chinese words-based methods on most texts, but with improved performance on short and informal texts. Especially, the computation complexity of the proposed method is far better than words-based methods. Originality/value The proposed method exploits the property of Chinese characters being a linguistic unit with semantic information. Contrasting to word-based methods, the computational efficiency of this method is significantly improved at slight loss of accuracy. It is more sententious and cuts off the problems resulted from preparing predefined dictionaries and various data preprocessing.

2015 ◽  
Vol 37 (3) ◽  
pp. 507-527 ◽  
Author(s):  
JIE ZHANG ◽  
HONG LI ◽  
QIONG DONG ◽  
JIE XU ◽  
ELIZABETH SHOLAR

ABSTRACTThis study investigated whether beginning nonnative learners of Chinese can use phonological and semantic information of radicals to learn the sounds and meanings of new Chinese characters. Thirty-four seventh- and eighth-grade American adolescents, who received intensive Chinese instruction for one semester, were taught 16 compound pseudocharacters paired with novel pictures over three learning trials. After each learning trial, students were asked to produce the sounds and meanings of pseudocharacters in which semantic transparency and phonetic regularity of radicals were manipulated. Results showed a facilitation effect of transparent semantic radicals in learning character meanings in early trials. There was a trend that students learned to read regular and transparent characters better than irregular and opaque characters. The ability to learn orthography–pronunciation association uniquely predicted Chinese word reading after controlling for semantic and phonetic radical knowledge. These findings suggest a predominant use of semantic strategies and the importance of orthography to phonology mappings in learning to read Chinese for beginning nonnative learners of Chinese.


2021 ◽  
Vol 8 (1) ◽  
Author(s):  
An-King Lim

Abstract Turkic conquest and rule of China since 386 CE for nearly two hundred years had exerted its profound and long-lasting influence on many levels of Chinese society. Turkic sinification policy had induced the Xianbei National Language (XNL), which was Turkic language with selected set of Chinese characters for phonetic spelling. XNL, being spelt in Chinese characters, managed to function in Turkic-Chinese code-mixing in the bilingual communities as evidenced in bianwen 變文. Because of the Turkic politico-socio-economical dominance, some the Turkic elements in the code-mixing eventually gained prominance and have become permanent part of the northern vernacular, predecessor of modern Mandarin. This paper discusses twelve such Turkic-rooted verbal functional expressions: (1). The causative-passive qu 取; (2). Transitive passive sha 殺, sha 煞, si 死; (3). Causative dou 鬥, dou 逗; (4). Continuative hai 還, que 卻; (5). Resultative que 卻; (6). Reflexive nə 呢 (7). Positive indirective mo shi 莫是; (8). Negative indirective bu dao 不道; (9). Future participle cai 才, cai 纔; (10). Conditional yao shi 要是, yao 要, yao bu shi 要不是; (11). INDUCE-base nong 弄; (12). The speech quote verb dao 道.


2020 ◽  
Vol 13 (3) ◽  
pp. 365-388
Author(s):  
Asha Sukumaran ◽  
Thomas Brindha

PurposeThe humans are gifted with the potential of recognizing others by their uniqueness, in addition with more other demographic characteristics such as ethnicity (or race), gender and age, respectively. Over the decades, a vast count of researchers had undergone in the field of psychological, biological and cognitive sciences to explore how the human brain characterizes, perceives and memorizes faces. Moreover, certain computational advancements have been developed to accomplish several insights into this issue.Design/methodology/approachThis paper intends to propose a new race detection model using face shape features. The proposed model includes two key phases, namely. (a) feature extraction (b) detection. The feature extraction is the initial stage, where the face color and shape based features get mined. Specifically, maximally stable extremal regions (MSER) and speeded-up robust transform (SURF) are extracted under shape features and dense color feature are extracted as color feature. Since, the extracted features are huge in dimensions; they are alleviated under principle component analysis (PCA) approach, which is the strongest model for solving “curse of dimensionality”. Then, the dimensional reduced features are subjected to deep belief neural network (DBN), where the race gets detected. Further, to make the proposed framework more effective with respect to prediction, the weight of DBN is fine tuned with a new hybrid algorithm referred as lion mutated and updated dragon algorithm (LMUDA), which is the conceptual hybridization of lion algorithm (LA) and dragonfly algorithm (DA).FindingsThe performance of proposed work is compared over other state-of-the-art models in terms of accuracy and error performance. Moreover, LMUDA attains high accuracy at 100th iteration with 90% of training, which is 11.1, 8.8, 5.5 and 3.3% better than the performance when learning percentage (LP) = 50%, 60%, 70%, and 80%, respectively. More particularly, the performance of proposed DBN + LMUDA is 22.2, 12.5 and 33.3% better than the traditional classifiers DCNN, DBN and LDA, respectively.Originality/valueThis paper achieves the objective detecting the human races from the faces. Particularly, MSER feature and SURF features are extracted under shape features and dense color feature are extracted as color feature. As a novelty, to make the race detection more accurate, the weight of DBN is fine tuned with a new hybrid algorithm referred as LMUDA, which is the conceptual hybridization of LA and DA, respectively.


2002 ◽  
Vol os9 (1) ◽  
pp. 9-13 ◽  
Author(s):  
Raman Bedi ◽  
Jackie A Champion ◽  
Roger Davies

Introduction In order to promote training and education in special-needs dentistry an attempt was made to introduce problem-based learning (PBL) as a method of postgraduate dental education. The aim of this paper was to review the principles of PBL and report on a case study using this methodology. Method The case study was of a PBL session, on the subject of ‘problems of obtaining appropriate dental care for people with epilepsy’, undertaken at a national conference. Delegates were asked to complete a pre- and post-session questionnaire on PBL and their attitudes to the session. Results The session received a mixed response. Only 33 (35%) thought the session was valuable and only 20 (31%) thought it was better than conventional teaching methods and yet over half (55%) said they would like to attend more PBL in special-needs dentistry. Professionals complementary to dentistry were more likely to find the PBL session of value and to prefer the method to a more conventional format than dentists were (chi-square=5.5, df=1, p<0.05 and chi-square=5.9, df=1, p<0.05 respectively). Conclusion Valuable feedback was received from delegates. This will enable improvements to be made in future courses so that the effectiveness of PBL can be optimised.


2018 ◽  
Vol 118 (8) ◽  
pp. 1578-1596 ◽  
Author(s):  
Wandeep Kaur ◽  
Vimala Balakrishnan

Purpose The purpose of this paper is to investigate the effect of including letter repetition commonly found within social media text and its impact in determining the sentiment scores for two major airlines in Malaysia. Design/methodology/approach A Sentiment Intensity Calculator (SentI-Cal) was developed by assigning individual weights to each letter repetition, and tested it using data collected from official Facebook pages of the airlines. Findings Evaluation metrics indicate that SentI-Cal outperforms the baseline tool Semantic Orientation Calculator (SO-CAL), with an accuracy of 90.7 percent compared to 58.33 percent for SO-CAL. Practical implications A more accurate sentiment score allows airline services to easily obtain a better understanding of the sentiments of their customers, hence providing opportunities in improving their airline services. Originality/value Proposed mechanism calculates sentiment intensity of social media text by assigning individual weightage to each repeated letter and exclamation mark thus producing a more accurate sentiment score.


2015 ◽  
Vol 23 (4) ◽  
pp. 309-322
Author(s):  
Jacey A. Greece ◽  
Joanne G. Patterson ◽  
Sarah A. Kensky ◽  
Kate Festa

Purpose – The purpose of this paper is to examine the utility of a redesigned course assessment in a required, introductory Master of Public Health (MPH) course to demonstrate competency achievement through practical application. School of public health curricula are informed by competency-based education (CBE) to prepare students for the field. This is a challenge in introductory courses as traditional assessments do not translate into practical application of knowledge. Design/methodology/approach – This retrospective post-test-only evaluation examined a practice-based, multi-disciplinary assessment utilized in Fall 2014 (n = 63 students). Web-based surveys were administered three months after the course to participating students (n = 33), the teaching team or teaching teams (n = 7) and organization representatives (n = 3) to evaluate the utility of the assessment. Questions were analyzed descriptively using chi-square tests, where applicable responses were compared across groups. Findings – Results indicate that a practice-based assessment in an introductory MPH course may enhance student learning by fostering deeper appreciation and application of course content while more closely reflecting the collaborative, multi-disciplinary and problem-solving nature of practice. The assessment may also increase the depth of competency achievement and career preparedness. Practical implications – Institutions that are guided by CBE, train students for multi-disciplinary practice and are impacted by the changing landscape of the field may want to consider course assessments that mimic practice to best prepare students. Originality/value – Course assessments should be evaluated to ensure they appropriately measure competency achievement. This evaluation provides multiple perspectives on the process and outcome of a practice-based course assessment.


2004 ◽  
Vol 30 (1) ◽  
pp. 75-93 ◽  
Author(s):  
Haodi Feng ◽  
Kang Chen ◽  
Xiaotie Deng ◽  
Weimin Zheng

We are interested in the problem of word extraction from Chinese text collections. We define a word to be a meaningful string composed of several Chinese characters. For example, ‘percent’, and, ‘more and more’, are not recognized as traditional Chinese words from the viewpoint of some people. However, in our work, they are words because they are very widely used and have specific meanings. We start with the viewpoint that a word is a distinguished linguistic entity that can be used in many different language environments. We consider the characters that are directly before a string (predecessors) and the characters that are directly after a string (successors) as important factors for determining the independence of the string. We call such characters accessors of the string, consider the number of distinct predecessors and successors of a string in a large corpus (TREC 5 and TREC 6 documents), and use them as the measurement of the context independency of a string from the rest of the sentences in the document. Our experiments confirm our hypothesis and show that this simple rule gives quite good results for Chinese word extraction and is comparable to, and for long words outperforms, other iterative methods.


2016 ◽  
Vol 33 (1) ◽  
pp. 21-22 ◽  
Author(s):  
Martin Kesselman

Purpose – This article examines Current CITE-ings from the Popular and Trade Computing Press, Telework and Telecommuting Design/methodology/approach – The methodology adopted is a literature review. Findings – Readily available technologies now allow librarians to perform most of their work-offsite. Some traditional building-based services such as reference, have been taken over by virtual reference and now even instruction offers options on par with or even better than classroombased questions such as a webinar that can be viewed and reviewed at any time or by having librarians embedded into various courseware packages. Researchlimitations/implications – Librarians no longer need be limited to a single library; groups of subject librarians can work together in the cloud to provide services to multiple universities. Originality/value – This article collates some articles from the non-library literature that mayprovide some ideas and review advantages and disadvantages for both the library and employee


Author(s):  
Simone Spagnol ◽  
Michele Geronazzo ◽  
Davide Rocchesso ◽  
Federico Avanzini

Purpose – The purpose of this paper is to present a system for customized binaural audio delivery based on the extraction of relevant features from a 2-D representation of the listener’s pinna. Design/methodology/approach – The most significant pinna contours are extracted by means of multi-flash imaging, and they provide values for the parameters of a structural head-related transfer function (HRTF) model. The HRTF model spatializes a given sound file according to the listener’s head orientation, tracked by sensor-equipped headphones, with respect to the virtual sound source. Findings – A preliminary localization test shows that the model is able to statically render the elevation of a virtual sound source better than non-individual HRTFs. Research limitations/implications – Results encourage a deeper analysis of the psychoacoustic impact that the individualized HRTF model has on perceived elevation of virtual sound sources. Practical implications – The model has low complexity and is suitable for implementation on mobile devices. The resulting hardware/software package will hopefully allow an easy and low-tech fruition of custom spatial audio to any user. Originality/value – The authors show that custom binaural audio can be successfully deployed without the need of cumbersome subjective measurements.


2014 ◽  
Vol 34 (3/4) ◽  
pp. 232-246
Author(s):  
Gopal Chandra Mandal ◽  
Kaushik Bose ◽  
Slawomir Koziel

Purpose – Developing countries like India, accounts for about 40 percent of undernourished children in the World and it is largely due to the result of dietary inadequacy in relation to their needs. The purpose of this paper was to evaluate the changes in the nutritional status of the children, from their preschool days to the present primary school days. Design/methodology/approach – The present investigation was conducted at 20 Integrated Child Development Service (ICDS) centers (Center-A) and 15 primary schools (Center-B) in Bali Gram Panchayat, Arambag, Hooghly District of West Bengal, India, at an interval of three to four years. A total of 1,012 children (boys=498; girls=514) aged two to six years old enrolled in these ICDS centers and a total of 603 children (boys=300, girls=303), aged five to ten years were studied from the 15 primary schools who were the beneficiaries of ICDS centers. Underweight (weight-for-age Z-score (WAZ)) and wasting (weight-for height Z-score (WHZ)) were used to assess the nutritional status. Findings – The nutritional situation (both in case of underweight and wasting) was better in Center B as compared with Center A. In general, the nutritional condition of boys was better than girls. Center had a very significant effect on both WAZ as well as WHZ, irrespective of age and sex. Sex has a significant impact only on WAZ. Interestingly, there was no significant sex-center interaction for both WAZ as well as WHZ. The children of the area were getting Mid Day Meal supplied through the school authorities which was comparatively better than the ICDS centers’ food supplementation. Better monitoring of nutritional supplementation at primary schools may be an important factor. Practical implications – In ICDS centers, only the Anganwari worker is responsible in running and implementing the programs offered by the Government. However, at primary schools, the active involvement of all the teachers to run the program may have effectively led to have better results. Furthermore, the Government's focus should not be only on the increase the area covered by the ICDS program, but focus should be to increase the quality of food supplied, proper monitoring of the implementation and increase the allocation of funds. Appropriate measures may be taken by the authorities regarding this. Originality/value – The results of the study will help in policy making in reducing the prevalence of undernutrition.


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