Sentiment analysis in non-fixed length audios using a Fully Convolutional Neural Network

After the dataset collection stage, the preprocessing challenge, because of its numerous applications, such as audio surveillance, stage, and the NLP step, the classification process is carried out using E-learning, clinical studies, lie detection, entertainment, computer Bayesian Neural Networks. In the case of [6], the main purpose is to games and call centers [1]. Emotion processing is also important develop an application capable of analyzing the content of online for polarity detection which is very useful in social events, political courses and the contributions of their learners such as video transcriptions, movements and marketing campaigns [2]. Emotions play an important readings, questions and answers of the evaluation activities, posts role in our life, not only in human interaction, but also in decisionmaking in forums, etc. using NLP, to improve the teaching material and the processes, and in the perception of the world around us [3].