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"Chinese language Spoken language Data processing."
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Systematic literature review of sentiment analysis in the Spanish language
PurposeMost studies on Sentiment Analysis are performed in English. However, as the third most spoken language on the Internet, Sentiment Analysis for Spanish presents its challenges from a semantic and syntactic point of view. This review presents a scope of the recent advances in this area.Design/methodology/approachA systematic literature review on Sentiment Analysis for the Spanish language was conducted on recognized databases by the research community.FindingsResults show classification systems through three different approaches: Lexicon based, Machine Learning based and hybrid approaches. Additionally, different linguistic resources as Lexicon or corpus explicitly developed for the Spanish language were found.Originality/valueThis study provides academics and professionals, a review of advances in Sentiment Analysis for the Spanish language. Most reviews on Sentiment Analysis are for English, and other languages such as Chinese or Arabic, but no updated reviews were found for Spanish.
Journal Article
The influence of induced moods on aging of phonological encoding in spoken word production: an ERP study
This study investigated the influence of induced mood on the phonological encoding involved in Chinese spoken word production with a picture-word inference task while concurrently recorded electrophysiological signals. In the experiment, young and older participants watched videos for inducing positive, negative, or neutral mood, and then they were instructed to name target picture while ignoring phonologically related or unrelated distractor words. A phonological facilitation effect was observed in young adults but not in older adults, suggesting an age-related decline of phonological encoding. Both groups showed an inhibition effect in negative mood but not in positive mood, suggesting that speakers have different processing styles in different moods. ERP data revealed a phonological effect around the time window of 250–350 ms in both groups. Meanwhile, young adults showed a phonological effect around 350–450 ms in negative mood and positive mood which may reflect self-monitoring in speech production. We suggest that the former effect may reflect phonological encoding while the latter reflects self-monitoring of internal syllables or phonemes. Furthermore, induced moods influence the phonological effect in older and young adults differently. Behavioral and ERP results provide consistent evidence for the aging decline of phonological encoding in spoken word production.
Journal Article
Aggregation consistency and frequency of Chinese words and characters
Purpose - Aims to measure syllable aggregation consistency of Romanized Chinese data in the title fields of bibliographic records. Also aims to verify if the term frequency distributions satisfy conventional bibliometric laws.Design methodology approach - Uses Cooper's interindexer formula to evaluate aggregation consistency within and between two sets of Chinese bibliographic data. Compares the term frequency distributions of polysyllabic words and monosyllabic characters (for vernacular and Romanized data) with the Lotka and the generalised Zipf theoretical distributions. The fits are tested with the Kolmogorov-Smirnov test.Findings - Finds high internal aggregation consistency within each data set but some aggregation discrepancy between sets. Shows that word (polysyllabic) distributions satisfy Lotka's law but that character (monosyllabic) distributions do not abide by the law.Research limitations implications - The findings are limited to only two sets of bibliographic data (for aggregation consistency analysis) and to one set of data for the frequency distribution analysis. Only two bibliometric distributions are tested. Internal consistency within each database remains fairly high. Therefore the main argument against syllable aggregation does not appear to hold true. The analysis revealed that Chinese words and characters behave differently in terms of frequency distribution but that there is no noticeable difference between vernacular and Romanized data. The distribution of Romanized characters exhibits the worst case in terms of fit to either Lotka's or Zipf's laws, which indicates that Romanized data in aggregated form appear to be a preferable option.Originality value - Provides empirical data on consistency and distribution of Romanized Chinese titles in bibliographic records.
Journal Article
Pinyin romanization for OPAC retrieval: Is everyone being served?
As conversion of Wade-Giles entries to pinyin is underway, this paper reconsiders the usefulness of providing romaization-based retrieval in OPACs for Chinese-language resources. An in-house experiment designed to measure retrieval performance in OPAC title searches under different romanization methods revealed that while romanization is an efficient retrieval method that works relatively well for a large number of patrons, it remains problematic for a significant portion of end users who might be better served with character-based retrieval systems.
Journal Article