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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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PRODUCT ANALYST ADVISOR TOOL
Dr. Vaishali Gaikwad(Mohite)¹, Vivek Solavande² & M. Ahmer Usmani
Journal of Data Acquisition and Processing, 2023, 38 (2): 2830-2840 .
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Abstract
We live in a digital world where data is the new oil. One can do wonders if he processes the data well and extracts the useful facts out of it which could be used as useful information. We human beings are sensitive and have our own views, opinion, judgment, and emotions. We do express our emotions, views, opinions, and judgments through text messages. Wouldn't it be wonderful if we could extract the emotions out of mere texts? And then use if for our purpose. Yes, it’s very possible thanks to Sentimental Analysis and NLP we can extract emotions out of texts. Our project is based on extracting emotions and opinions out of the text field and uses it for giving us some insight into the product. Suppose if one has to buy a mobile phone he has to do a lot of research from price range to features and its durability and then select the best mobile in the range which fits maximum criteria. Yes, it could be possible with the help of our project product analyst (mobile) advisor. What we will be trying to do is extract reviews from different sites about the product (mobile) which are looking for and then process that data and transform it so it could be used for our analysis which in short will be helpful to display the result of all reviews and make it easy for the user to select the best choice available.
Keyword
Sentiment Analysis; Product Analyst Advisor Tool; Natural Language Processing (NLP); Opinion Mining
PDF Download (click here)
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