Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "8c88c775-db40-4738-abce-bb73bb64dfdb"}, "_deposit": {"created_by": 45, "id": "3022", "owner": "45", "owners": [45], "owners_ext": {"displayname": "", "username": ""}, "pid": {"revision_id": 0, "type": "recid", "value": "3022"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3022", "sets": ["user-uit"]}, "communities": ["uit"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Summarization by Feature-Opinion Pairs from Web Opinion Sources", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "With the rapidly growth Internet, web opinion sources is also dynamically developed. The valuable information useful for both customers and manufactures expressed over them. One of the important types of information on the Web are opinions expressed in the user generated content e.g., customer reviews of products, forum posts, and blogs. These are written in natural languages and are unstructured-free-texts scheme. Therefore, opinion mining techniques become popular to automatically process customer reviews for extracting product features and opinions from each sentence. In this paper, we dedicate our work to the main subtask of summarization for the product. Therefore, product feature and opinion extraction is critical because its effectiveness significantly affects the identification of semantic relationships. The Probabilistic based model of supervised learning and dependency tree will improve the result that is more flexible and effective."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Opinion Mining"}, {"interim": "Summarization"}, {"interim": "Sentiment Analysis"}, {"interim": "Text Mining"}, {"interim": "Dependency Grammar"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2020-08-22"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Summarization by Feature-Opinion Pairs from Web Opinion Sources.pdf", "filesize": [{"value": "401 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "mimetype": "application/pdf", "size": 401000.0, "url": {"url": "https://meral.edu.mm/record/3022/files/Summarization by Feature-Opinion Pairs from Web Opinion Sources.pdf"}, "version_id": "9a2a73ba-583e-4482-82a3-b6b82298117b"}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "ICSE", "subitem_c_date": "12-13 December 2015", "subitem_conference_title": "The Sixth International Conference on Science and Engineering, 2015", "subitem_place": "Yangon Technological University", "subitem_website": "https://ytu.edu.mm/about-icse/"}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Dim En Nyaung"}, {"subitem_authors_fullname": "Thin Lai Lai Thein"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Conference paper"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2015-12-13"}, "item_title": "Summarization by Feature-Opinion Pairs from Web Opinion Sources", "item_type_id": "21", "owner": "45", "path": ["1596102355557"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003022", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2020-08-22"}, "publish_date": "2020-08-22", "publish_status": "0", "recid": "3022", "relation": {}, "relation_version_is_last": true, "title": ["Summarization by Feature-Opinion Pairs from Web Opinion Sources"], "weko_shared_id": -1}
  1. University of Information Technology
  2. Faculty of Computer Science

Summarization by Feature-Opinion Pairs from Web Opinion Sources

http://hdl.handle.net/20.500.12678/0000003022
http://hdl.handle.net/20.500.12678/0000003022
8578d5e1-e094-4130-bf56-7c0a61afd11b
8c88c775-db40-4738-abce-bb73bb64dfdb
None
Preview
Name / File License Actions
Summarization Summarization by Feature-Opinion Pairs from Web Opinion Sources.pdf (401 Kb)
Publication type
Conference paper
Upload type
Publication
Title
Title Summarization by Feature-Opinion Pairs from Web Opinion Sources
Language en
Publication date 2015-12-13
Authors
Dim En Nyaung
Thin Lai Lai Thein
Description
With the rapidly growth Internet, web opinion sources is also dynamically developed. The valuable information useful for both customers and manufactures expressed over them. One of the important types of information on the Web are opinions expressed in the user generated content e.g., customer reviews of products, forum posts, and blogs. These are written in natural languages and are unstructured-free-texts scheme. Therefore, opinion mining techniques become popular to automatically process customer reviews for extracting product features and opinions from each sentence. In this paper, we dedicate our work to the main subtask of summarization for the product. Therefore, product feature and opinion extraction is critical because its effectiveness significantly affects the identification of semantic relationships. The Probabilistic based model of supervised learning and dependency tree will improve the result that is more flexible and effective.
Keywords
Opinion Mining, Summarization, Sentiment Analysis, Text Mining, Dependency Grammar
Conference papers
ICSE
12-13 December 2015
The Sixth International Conference on Science and Engineering, 2015
Yangon Technological University
https://ytu.edu.mm/about-icse/
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-08-22 14:16:43.028669
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL