Evidence map›Paper›PMID 40062253›Full record

ArticlePeerJ. Computer science2025

Leveraging sentiment analysis of food delivery services reviews using deep learning and word embedding.

Dheya Mustafa, Safaa M Khabour, Mousa Al-Kfairy, Ahmed Shatnawi

Abstract read
In one paragraph

Article in PeerJ. Computer science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Dheya MustafaDepartment of Computer Engineering, Faculty of Engineering, The Hashemite University, Zarqa, Jordan.ORCID 0000-0003-1456-7377
Safaa M KhabourDepartment of Information Systems, Yarmouk University, Irbid, Jordan.
Mousa Al-KfairyCollege of Technological Innovation, Zayed University, Abu Dhabi, United Arab Emirates.ORCID 0000-0003-3180-3861
Ahmed ShatnawiDepartment of Software Engineering, Jordan University of Science and Technology, Irbid, Jordan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Companies that deliver food (food delivery services, or FDS) try to use customer feedback to identify aspects where the customer experience could be improved. Consumer feedback on purchasing and receiving goods

Indexed as

Arabic dialectsArabic sentiments resourcesBiLSTMCNNConsumer sentimentDeep learningFood delivery servicesLSTM-CNNNLPWord embedding

Identifiers

PMID40062253
PMCPMC11888876

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.