Using Symbolic Prominence to Help Design Feature Subsets for Topic Classification and Clustering of Natural Human-Human CoNatural Human-Human
The Role of Disfluencies on Topic Classification of Human-Human Conversations.
We will talk about practical issues in delivering machine learning solutions to problems of finance with an example of how our social topic classification system was built from concepts to actual product.
Table 6 Topic classification result Topic AP CR Transportation 0.821 1.0 Avoidance 0.724 0.875 Collision 0.857 0.894.
The experiments are performed on the applications of document sentiment classification and document topic classification.
The topic "classification and evolution" was reduced to some chapters which pupils studied for only a few hours at school.
Signal's platform offers a machine learning-powered topic classification system that lets users define a topic they're interesting in and then train the algorithm on what should and shouldn't be in that topic.
Next, the created sentences for a given frame in a video sequence are grouped as one document, and topic classification is applied.
The unbiased collection of URLs is reflected by its use in professional web page traffic-ranking services like Alexa (alexa.com) and as a database for training URL-based topic classification algorithms (Baykan, Henzinger, Marian, & Weber, 2011).
Thus, our proposed character embedding can be adapted to any big data domain where high-level understanding of text is required, such as sentiment analysis, webpage ontology and topic classification.
Deep learning has produced extremely promising results for various tasks in natural language understanding [6] particularly topic classification, sentiment analysis, question answering [7], and language translation [2, 8, 9].
