Sentiments Analysis Using Tweets
preprint
OA: closed
CC-BY-4.0
Abstract
Data is a powerful weapon in today’s society, and it can assess if something is a success or a failure. This enables the company to examine its customer base and deliver results as promptly as workable. This concept is known as Sentiment Analysis of Data. Sentimental Analysis can be performed using historical or present data. There are many tools and machine learning approaches available, but most people find that natural language processing is a great tool for assessing data for opinion mining, and machine learning is a great solution if they know how to use it correctly.
My notes (saved in your browser only)
Citation neighborhood (no data yet)
We don't have any in-corpus citations linked to this paper yet. The paper's references may be in our DB but unresolved to ``paper_id`` (resolution happens at ingest when the cited DOI matches a row we already have). Run the cross-source citation reconcile pass to retry.
Source provenance
- europepmc
- last seen: 2026-05-19T01:45:01.086888+00:00
- unpaywall
- last seen: 2026-05-26T02:00:01.498150+00:00
License: CC-BY-4.0