Sixth International Joint Conference on Natural Language Processing Proceedings of the Workshop on Natural Language Processing for Social Media (SocialNLP)
نویسندگان
چکیده
In Taiwan, there are different types of TV programs, and each program usually has its broadcast length and frequency. We accumulate the broadcasted TV programs’ word-ofmouth on Facebook and apply the Backpropagation Network to predict the latest program audience rating. TV audience rating is an important indicator regarding the popularity of programs and it is also a factor to influence the revenue of broadcast stations via advertisements. Currently, the present media environments are drastically changing our media consumption patterns. We can watch TV programs on YouTube regardless location and timing. In this paper, we develop a model for predicting TV audience rating. We also present the audience rating trend analysis on demo system which is used to describe the relation between predictive audience rating and
منابع مشابه
Sixth International Joint Conference on Natural Language Processing Proceedings of the Fourth Workshop on South and Southeast Asian Natural Language Processing
This paper deals with the fast bootstrapping of Grapheme-to-Phoneme (G2P) conversion system, which is a key module for both automatic speech recognition (ASR), and text-to-speech synthesis (TTS). The idea is to exploit language contact between a local dominant language (Malay) and a very under-resourced language (Iban spoken in Sarawak and in several parts of the Borneo Island) for which no res...
متن کاملSixth International Joint Conference on Natural Language Processing Proceedings of the Seventh SIGHAN Workshop on Chinese Language Processing
In this talk, we are going to give a systematic view of lexical semantics of Chinese language. From macro perspective point of view, lexical conceptual meanings are classified into hierarchical semantic types and each type plays some particular semantic functions of Host, Attribute, and Value to form a semantic compositional system. Lexical senses and their compositional functions will be exemp...
متن کاملA Survey on Hate Speech Detection using Natural Language Processing
This paper presents a survey on hate speech detection. Given the steadily growing body of social media content, the amount of online hate speech is also increasing. Due to the massive scale of the web, methods that automatically detect hate speech are required. Our survey describes key areas that have been explored to automatically recognize these types of utterances using natural language proc...
متن کاملSixth International Joint Conference on Natural Language Processing Proceedings of the 11th Workshop on Asian Language Resources
Bilingual corpora play an important role as resources not only for machine translation research and development but also for studying tasks in comparative linguistics. Manual annotation of word alignments is of significance to provide a gold-standard for developing and evaluating machine translation models and comparative linguistics tasks. This paper presents research on building an English-Vi...
متن کاملSixth International Joint Conference on Natural Language Processing The First Workshop on Natural Language Processing for Medical and Healthcare Fields
This paper describes a method to extract medical information from texts. The method targets to extract complaints and diagnoses from electronic health record texts. Complaints and diagnoses are fundamental information and can be used for more complex medical tasks. The method utilizes several medical knowledge resources to enhance the performance of extraction. With an evaluation using NTCIR10 ...
متن کامل