| 000 -LEADER |
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| fixed length control field |
a |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20220915144024.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
220915b xxu||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
AIKTC-KRRC |
| Transcribing agency |
AIKTC-KRRC |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
17918 |
| Author |
Mohanty, Subojit |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Assessment of long short-term memory network for quora sentiment analysis |
| 250 ## - EDITION STATEMENT |
|---|
| Volume, Issue number |
Vol.103(2), Apr |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
|---|
| Place of publication, distribution, etc. |
New York |
| Name of publisher, distributor, etc. |
Springer |
| Year |
2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Pagination |
375-384p. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc. |
Quora is a common online platform for users to obtain answers to their questions, which is often subjected to the posting of irrelevant questions and answers by the users. This needs to be filtered and only relevant contents are to be allowed. The present work emphasized on filtering of community-oriented irrelevant questions by machine learning and classifying the questions as genuine/irrelevant. Preprocessing techniques like tokenization, lemmatization and stop words removal were used to convert the input data into a structured data, which was then fed to Word2Vec embedding model which mapped every unique word to a corresponding vector in the space. This vector model was given as an input to long short-term memory (LSTM) network which used ReLU and Adam for optimization. The accuracy of the model was verified at the end of every epoch, and the training was halted with the reduction of accuracy. An accuracy of 97% was obtained at the end of the final epoch. Such an approach was able to successfully filter the community-oriented irrelevant questions. This could be further extended for other anti-social aspects, in the near future. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| 9 (RLIN) |
4642 |
| Topical term or geographic name entry element |
Humanities and Applied Sciences |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| 9 (RLIN) |
17919 |
| Co-Author |
Seth, Vaibhav Kumar |
| 773 0# - HOST ITEM ENTRY |
|---|
| Title |
Journal of the institution of engineers (India): Series B |
| International Standard Serial Number |
2250-2106 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS |
|---|
| URL |
https://link.springer.com/article/10.1007/s40031-021-00677-4 |
| Link text |
Click here |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
|
| Koha item type |
Articles Abstract Database |
