With the explosive growth of social media, the online community can freely express their
opinions without disclosing their identities. People with hidden agendas can easily post fake …

Sentiment analysis in a multilingual world remains a challenging problem, because
develo** language-specific sentiment lexicons is an extremely resourceintensive process …

In this study, we present a novel method in generating summaries of multiple online reviews
using a fine-grained sentiment extraction model for short texts, which is adaptable to …

A typical trade-off in decision making is between the cost of acquiring information and the
decline in decision quality caused by insufficient information. Consumers regularly face this …

In this paper, we propose a novel approach for classifying both the sentiment and the
language of tweets. Our proposed architecture comprises a convolutional neural network …

Romanian is one of the understudied languages in computational linguistics, with few
resources available for the development of natural language processing tools. In this paper …

User-generated online content serves as a source of product-and service-related
information that reduces the uncertainty in consumer decision making, yet the abundance of …

Multilingualism is the ability of an individual or a group to communicate effectively in three or
more languages. On the other hand, monolinguals refer to the ability to converse in only one …

In this paper we propose a sentiment classification method for the categorization of tourist
reviews according to the sentiment expressed. We also give the results of the application of …

We present a novel approach to predicting the sentiment of documents in multiple
languages, without translation. The only prerequisite is a multilingual parallel corpus …