SCANCPECLENS: A Framework for Automatic Lexicon Generation and Sentiment Analysis of Micro Blogging Data on China Pakistan Economic Corridor

SCANCPECLENS: A Framework for Automatic Lexicon Generation and Sentiment Analysis of Micro Blogging Data on China Pakistan Economic Corridor

With the growing availability of internet and opinion rich resources such as social networks and personal blogs, the task of mining public opinion and exploring facts has become more popular than ever before during the last decade. The latest trend has deeply transformed the way the governments inte...

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Bibliographic Details
Main Authors: Bibi Amina, Tayyaba Azim
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
China Pakistan economic corridor (CPEC)
<italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">k</italic>- nearest neighbor
logistic regression
lexicon generation
machine learning
natural language processing
Online Access:https://ieeexplore.ieee.org/document/8831392/

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https://ieeexplore.ieee.org/document/8831392/

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