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Aspect retrieval in Hindi language feedback using Rule based method

Deepali Mishra Tiwari1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-11 , Page no. 897-902, Nov-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i11.897902

Online published on Nov 30, 2018

Copyright © Deepali Mishra Tiwari . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Deepali Mishra Tiwari, “Aspect retrieval in Hindi language feedback using Rule based method,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.11, pp.897-902, 2018.

MLA Style Citation: Deepali Mishra Tiwari "Aspect retrieval in Hindi language feedback using Rule based method." International Journal of Computer Sciences and Engineering 6.11 (2018): 897-902.

APA Style Citation: Deepali Mishra Tiwari, (2018). Aspect retrieval in Hindi language feedback using Rule based method. International Journal of Computer Sciences and Engineering, 6(11), 897-902.

BibTex Style Citation:
@article{Tiwari_2018,
author = {Deepali Mishra Tiwari},
title = {Aspect retrieval in Hindi language feedback using Rule based method},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {11 2018},
volume = {6},
Issue = {11},
month = {11},
year = {2018},
issn = {2347-2693},
pages = {897-902},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=3264},
doi = {https://doi.org/10.26438/ijcse/v6i11.897902}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i11.897902}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=3264
TI - Aspect retrieval in Hindi language feedback using Rule based method
T2 - International Journal of Computer Sciences and Engineering
AU - Deepali Mishra Tiwari
PY - 2018
DA - 2018/11/30
PB - IJCSE, Indore, INDIA
SP - 897-902
IS - 11
VL - 6
SN - 2347-2693
ER -

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Abstract

The era of Web has resulted in generation of vast amount of user-generated content and analysis of all data by the viewer is time consuming process and viewers are interested towards the specific features of an entity, so the aspect based sentiment analysis became more important. Aspect term Extraction is the prime aim for the aspect based sentiment analysis. Aspect based sentiment Analysis have explored the rule based approach to extract the aspect term . By Experimented approach we have achieved average results for aspect term extraction.

Key-Words / Index Term

lexicon,aspect,lemma

References

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