Sentence examples for topical text from inspiring English sources

Although OCFS is quite robust for traditional topical text classification, it does not do well for sentiment analysis since it relies on word frequencies to measure the distances between documents.

Although OCFS is quite robust for traditional topical text classification as reported in Cai and Song [39], it is not doing well for sentiment analysis, perhaps for the same intuition as we just explained for DFD.

In our case, we want to understand the topical focus of text documents and design an efficient representation suitable for discriminating different topics.

More specifically, we develop the Domain-Constraint Latent Dirichlet Allocation (DC-LDA) topic model for effective extraction of topical features from texts.

As a result, we find a connection between the bursty nature of rare words and the topical organization of texts and identify dynamic word ranking and memory across documents as key mechanisms explaining the non trivial organization of written text.

There was, for example, a fine balance of the traditional text and topical amendments.

First, we will use topical indexing to identify text pertaining to each interview question and prompt, followed by development of a more detailed coding scheme to capture content, themes, and sentiments.

Now that Mrs Gandhi and her "Emergency" are history, the text becomes less topical, but more timeless.

iPhone / iPad iPad app LinkTV has a focus on international news, aggregating videos from broadcasters around the world tied to topical events, as well as text articles, documentaries and personalisation features.

The text has few topical references to specific events that could be used to identify the period of composition more precisely.

For the US picture sleeve, designer Tom Wilkes chose a suitably topical image, incorporating headlines and text from New York Times articles about the Bangladesh crisis.