[PDF] Top 20 Machine Translation for Machines: the Sentiment Classification Use Case
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Machine Translation for Machines: the Sentiment Classification Use Case
... Another important aspect to investigate is the relation between the size of the development set (i.e. the amount of human-annotated source lan- guage tweets needed by the RL methods) and fi- nal classification ... See full document
7
Learning Non linear Features for Machine Translation Using Gradient Boosting Machines
... during machine translation decoding, leading to faster and more accurate ...didate translation. Two phrase-pairs are used to compose the translation, and each phrase-pair has a set of local ... See full document
6
Multilingual Sentiment Analysis using Machine Translation?
... For our experiments, we employed the data provided for English in the NTCIR 8 Multilingual Opinion Analysis Task (MOAT) 3 . In this task, the organiz- ers provided the participants with a set of 20 top- ics (questions) ... See full document
9
How Sentiment Analysis Can Help Machine Translation
... the translation of an English-Bengali PB-SMT ...how sentiment knowledge is useful for au- tomatic post-editing the MT ...either case, we were able to improve the performance over the baseline ... See full document
6
Machine Learning Algorithms for Opinion Mining and Sentiment Classification
... w. Classification of test instances consists simply of determining which side of w’s hyperplane they fall ...vector machines were introduced in [3] (Vapnik) and basically attempt to find the best possible ... See full document
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SENTIMENTAL ANALYSIS TEXT MINING USING FOR SOCIAL MEDIA
... a classification task as it classifies the orientation of a text into either positive or ...Vector Machines (SVM) are the most favored supervised learning method of sentiment classification ... See full document
12
Is Machine Translation Ripe for Cross Lingual Sentiment Classification?
... Observation 1: Degradations due to market and language mismatch are comparable in several cases (e.g. MUSIC-DE and DVD-EN perform similarly for target MUSIC-EN). Observation 2: The ranking of source language by ... See full document
5
Sentiment Aware Neural Machine Translation
... the sentiment preservation and translation qual- ity in user-generated content (UGC) using senti- ment ...the sentiment with a small deteriora- tion in translation ...However, sentiment ... See full document
7
User expectations towards machine translation: A case study
... types of text. This part also elicited information on the respondents’ forecast, normative and ideal ex- pectations towards MT. The participants were asked to rank the quality-related issues and their frequency they ... See full document
7
Bilingual Co Training for Sentiment Classification of Chinese Product Reviews
... Chinese sentiment classification, because the term distributions in the original reviews and the translated reviews are ...to machine translation. Because current machine translation ... See full document
30
Sentiment Analysis of Tweets using SVM
... the machine learning algorithms such as Naive Bayes, Maximum Entropy and SVM when trained with emotion tweets can have accuracy more than ...of classification for high ...Arabic sentiment analysis on ... See full document
5
Exploring Distributional Representations and Machine Translation for Aspect based Cross lingual Sentiment Classification
... Cross-lingual sentiment classification (CLSC) seeks to use resources from a source language in order to detect sentiment and classify text in a target ...cross-lingual sentiment ... See full document
11
Survey On Text Categorization Using Sentiment Analysis
... In sentiment analysis mostly machine learning approach are used we can see in [1], [2], [4], [12] and ...[13]. Machine learning approach having many classification algorithm and each algorithm ... See full document
7
Comparative Study on Machine Learning Algorithms for Sentiment Classification
... Nowadays sentiment analysis has become one of the popular and interesting tasks for the researchers working in the field of natural language ...of sentiment analysis can also be performed in financial ... See full document
7
Industrial Short-Term Trends: Index of Industrial Production. 5-1982
... Manufacture of machine-tools for working metal, and of other tools and equipment for use with machines Manufacture of textile machinery and accessories; manufacture of sewing machines Ma[r] ... See full document
64
Traffic Data Analysis using Decision Tree and Naïve Bayes Classifier
... This work evaluates the Traffic n using different machine learning algorithms by WEKA Tool. Compare the results in terms of time taken to build the model and its accuracy. WEKA is an efficient approach and ... See full document
5
Automatic Classification of Epilepsy Lesions
... the use of MRI for localizing seizure focus for improved surgical ...makes use of the property of nuclear magnetic resonance (NMR) to image nuclei of atoms inside the ... See full document
102
Exploring the Use of Word Relation Features for Sentiment Classification
... text sentiment classification has be- come a hotspot in the field of natural language processing in recent years (Pang and Lee, ...in sentiment classification is known as the bag-of- words ... See full document
9
Proceedings of the Human Informed Translation and Interpreting Technology Workshop (HiT IT 2019)
... developing translation and interpreting technologies) and practitioners (translators and ...in translation and interpreting technologies, practicing technology- minded translators and interpreters, ... See full document
10
Trend Analysis on Twitter for Predicting Public Opinion on Ongoing Events
... ’X’ is the feature vector defined as and yj is the class label. Here, in our work there are different independent features like emoticons, emotional Keyword, count of positive and negative keywords, and count of positive ... See full document
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