Abstract—This study is specifically concerned in developing a
storyteller application which uses sentiment analysis and
includes Text-to-Speech (TTS) that converts the input text story
into its audio output. Concatenative synthesis was the algorithm
used in the TTS process wherein every speech audio that
represents each syllables will be concatenated to each other with
some pauses for speech turns and delimiters. Also, the
researchers used N-Gram in order to syllabicate every word in
the story input. This study is aimed to determine its acceptability
to the users and its accuracy in terms of its audio modification.
The accuracy of the said application is measured by precision
and its error rate.
Index Terms—Sentiment analysis, text-to-speech, text
categorization, tagalog stemmer
The authors are with the Department of Computer Science, Polytechnic
University of the Philippines (e-mail: riasagum31@yahoo.com,
gonzaga_jc1993@yahoo.com, jemimah.seguerra@gmail.com,
jhonnelturingan@gmail.com, mlptrckulit@gmail.com).
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Cite:John Christopher P. Gonzaga, Jemimah A. Seguerra, Jhonnel A. Turingan, Mel Patrick A. Ulit, and Ria
A. Sagum, "Emotional Techy Basyang: An Automated Filipino
Narrative Storyteller," International Journal of Future Computer and Communication vol. 3, no. 4, pp. 271-274, 2014.
