Open AccessPipelined model for classification of the processed tweets
Author(s) -
B. M. Bandgar
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.3.9962
Subject(s) - computer science , unstructured data , artificial intelligence , natural language processing , data mining , big data
The The extraction and processing of the real-time tweets is one of the challenging tasks. The processed tweets are classified using unstructured models. These showed no. of neutral tweets after the classification the tweets. Therefore, here pipelined unstructured model is developed the for the classification of tweets and explored to reduce the number of neutral tweets. It showed more reduction in the number of neutral tweets as compared to other unstructured model such as the SWNC model results.