In Natural language processing, one of the fundamental tasks is Named Entity Recognition
(NER) that include identifying names of peoples, locations and other entities. Applications of …

Named Entity Recognition (NER) is an important step in text mining. This paper proposes a
survey on extracting named entities from new domains using big data analytics. The survey …

Named Entity Recognition (NER) is an important natural language processing (NLP) tool for
information extraction and retrieval from unstructured texts such as newspapers, blogs and …

Purpose The purpose of this research study is to extract and identify named entities from
Hadith literature. Named entity recognition (NER) refers to the identification of the named …

The advancements in digital technologies have led to the generation of huge amounts of
data. This data can be in the form of natural language text which is easy to interpret for …

Named Entity Recognition (NER) is an information extraction subtask that attempts to
recognize and categorize named entities in unstructured text into predefined categories …

Named Entity recognition is a challenging problem in the area of text mining. Most of the
work in this field has been done in open domain. However the notion of named entity …

In this paper, we depict hybrid approach, ie, combination of rule based approach and
machine learning techniques, ie Conditional Random Fields (CRF) for Named Entity …

Natural Language Processing (NLP) is one of the sub-parts of Artificial Intelligence which
normally focuses on empowering computers to understand and operate on human …

Named Entity Recognition (NER) is a very important task in the field of computational
linguistics. In the following paper, we have discussed NER in Hindi using Hidden Markov …