[PDF] Top 20 Multilingual Sentiment Analysis using Machine Translation?

... and sentiment analysis was done for ...a machine trans- lation system and subsequently use a subjectivity analysis system that was developed for English to create subjectivity analysis ... See full document

... the sentiment orientation of a review by the average semantic orientation of the phrases in the review that contain adjectives or adverbs, which is denoted as the semantic oriented ...a sentiment category ... See full document

... systems using aligned sentiment expressions, holders and their corresponding ob- jects have been developed ...creating sentiment lexica and cross-lingual senti- ment ...Automatic translation ... See full document

... The main purpose of our survey was to gather information on the kinds of texts and topics most frequently translated using MT systems. Information obtained from this part of the survey is providing useful ... See full document

... This paper describes the preliminary results of a system for extracting sentiments opinioned with regard with named entities. It also combines rule-based classification, statistics and machine learning in a new ... See full document

... The release of the PDTB had quite an impact on automatic disambiguation experiments. The state- of-the-art for recognizing all types of explicit con- nectives in English is therefore already high, at 97% accuracy for ... See full document

... These articles listed in the tables were found through Google Scholar and Science Direct; searched using keywords such as "sentiment analysis", "multilingual sentiment analysis", "sentim[r] ... See full document

... searching using metadata content requires that ei- ther the metadata be translated into a language with which the user is able to search or that the search query be translated into the language of the meta- ... See full document

... to sentiment analysis of multilingual corpora that encompasses translating texts to English, aggregating vectorial representa- tion of translated words and eventually applying machine learning ... See full document

... Sentiment analysis has been approached mainly as an unsupervised or supervised problem, alt- hough the middle ground, semi-supervised ap- proaches, ...for translation, although the translation ... See full document

... One of the first studies on the classification of po- larity in tweets was (Go et al., 2009). The au- thors conducted a supervised classification study on tweets in English, using the emoticons (e.g. “:)”, “:(”, ... See full document

... The patterns (a) and (b) in Figure 5 match with the subtrees in Figure 4, as Figure 6 illustrates. This matching operation is very complicated because there can be an enormous number of possible combi- nations of ... See full document

... a machine learn- ing algorithm may not be able to identify the same amount of information on subjective content in an English versus a Romanian ...formed using a subjectivity classifier developed for ... See full document

... Furthermore, a sentiment analysis using Malay lexicons could also be repeated to test the machine translation results when used to calculate the sentiment analysis percentage against twe[r] ... See full document

... Multimodal machine translation is the task of translating from a source text into the target language using information from other ...manual translation of English descriptions from the ... See full document

... After dividing the languages into several clusters, we train the models for the languages in each clus- ter with a multilingual NMT model (Johnson et al., 2017) based on different clustering methods and list the ... See full document

... aspect-based sentiment analysis using sentiment sentence ...unnecessary sentiment and compressing a complicated sentiment sentence into shorter and easier to ...the ... See full document

... Back-Translation TCS constructs Q(X|y) to sample augmented multilingual data, when the LRL data cannot estimate a good back-translation model. Here we confirm this intuition by replac- ing the Q(X|y) ... See full document

... ever, most of these methods focus on frequent words or an available bilingual phrase table (Zou et al., 2013; Zhang et al., 2014; Gao et al., 2014). Mikolov et al. (2013a) learn a global linear projec- tion from source ... See full document

... Many works generate and harness paraphrases (Barzilay and McKeown, 2001; Pang et al., 2003; Callison-Burch et al., 2005; Mallinson et al., 2017; Ganitkevitch et al., 2013; Brad and Rebedea, 2017; Quirk et al., 2004; ... See full document