Evidence map›Paper›PMID 39157819›Full record

ArticleMethodsX2024

Shopping marketplace analysis based on customer insights using social media analytics.

Negar Nasrabadi, Hendro Wicaksono, Omid Fatahi Valilai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in MethodsX, 2024. 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

3 authors.

Negar NasrabadiSchool of Business, Social & Decision Sciences, Constructor University Bremen, Campus Ring 1, 28759, Bremen, Germany.
Hendro WicaksonoSchool of Business, Social & Decision Sciences, Constructor University Bremen, Campus Ring 1, 28759, Bremen, Germany.
Omid Fatahi ValilaiSchool of Business, Social & Decision Sciences, Constructor University Bremen, Campus Ring 1, 28759, Bremen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using the recent advances in data analytics, Companies can leverage sentiment analysis to identify trends and areas for improvement of their market strategy and operation planning. This analysis allows them to understand the sentiments expressed by customers and accurately predict customer behavior. Social media platforms have fundamentally altered the field of digital marketing. The findings of this research try to provide:•

Indexed as

Customer perception for products and services using social media analyticsMarketplace analysisSentiment analysisSocial media analytics

Identifiers

PMID39157819
PMCPMC11326919

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.