Sentence examples for nlp it from inspiring English sources

Since sentiment analysis makes extensive use of NLP, it has this complex behavior reflected.

For NLP it would probably be better to focus on the basic categories in the original NER specification.

However, for a similarity model in NLP, it is not necessarily a function of distance unless it satisfies some basic properties.

By extracting meaningful features from the text using Natural Language Processing (NLP), it is possible to conduct review spam detection using various machine learning techniques.

RE is, thus, an important IE task in NLP, and it helps many others, such as Question Answering (QA), IR, summarization, semantic Web annotation, construction and extension of lexical resources and ontologies.

Ten years in the making, based on founder Xabier Uribe-Etxebarria's NLP research, it understands more than 250,000 concepts and relies on "five levels of linguistic analysis, including morphological, syntactic, semantic, pragmatic and functional".

In several cases, one species have more than one copy of NLPs and it is believed that several of these copies are pseudogenes [ 2, 3].

The universal is at rest in the soul, as it is the ratio common to all those particulars which instantiate it (NLP 33, 504 505).

The problem is formulated as a nonlinear programming (NLP) model, and it is solved by a novel bi-level global optimization algorithm that exploits its mathematical structure.

When you give Google's tool or any NLP system some text, it uses what it has been told to look for to decipher what it is looking at.

In effect, Lucky Sort was a big data play – it used NLP (natural language processing) techniques to discover information from huge, unstructured data sets.