BibTeX:

@article{IJIRSTV3I2037,
     title={A Tweet Segment Implementation On The NLP with The Summarization and Timeline Generation for Evolutionary Tweet Streams of Global and Local Context},
     author={Kanchan Varpe},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={3},
     number={2},
     pages={59--65},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV3I2037.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

A Tweeter is the Social Media Network to demonstrate the different kind of language which having an independent nature of classifiers, presenting an result on the several text classification. A classification problems text general classification and topic detection in several language forms like Greek, English, Dautsch and Chinese. Then the study on key factors in the CAN (i.e. Chain Augmented Naive) model that can influence the classification performance of the global context and local context. Two novel smoothing techniques variation of Jelinek-Mercer and linear inter polation technique which perform existing methods. Natural languages are full of collocations, recurrent combinations of words that occur more often than expected by chance and that correspond to arbitrary word usages. Recent work in lexicography indicates that collocations are in English apparently they are common in all types of writing, including both technical and nontechnical generations. These kind of document describes the properties and some applications of the Microsoft Web Ngram corpus. The corpus can have the characteristics, contrast to static data distribution of previous corpus releases, this N-gram corpus is made publicly available as an XML Web Service so that it can be updated as deemed necessary by the user community to include new words and phrases constantly being added to the Web.

CAN, Ngrams, Tweeter, NL, Web