Iterative Query Selection (IQS)
Python Package Overview
- Performs the IQS algorithm on various queries by providing a simple API for accessing all its functionality.
- Modify the quality of the search results from Twitter by setting different parameters.
- Designed for users with technical background.
- Download the package using pip install IQS-algorithm
Check out the IQS algorithm web platform in the following link: IQS Web
The platform can help you explore the IQS algorithm benefits:
- Search and retrieve data from Twitter's website using the IQS algorithm.
- Displays results from the experiment described in the academic paper. In the experiment, the IQS algorithm is compared to another algorithm in the field (ALMIK) on a specific dataset.
- Presenting the academic paper with Q&A
Metadata
Release files for IQS-algorithm 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| IQS_algorithm-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Release files / IQS_algorithm-1.0.0-py3-none-any.whl
| Download URL | IQS_algorithm-1.0.0-py3-none-any.whl |
|---|---|
| Size | 69.4 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e57915f1026d30ba3a5454cddcba970134458128557a3c367f449d46bac16217
|
|
BLAKE2b-256 checksum How to use checksums |
70e603898be1c4cb62792417dfc13800da17af8f114cfbecbb351e305211a2af
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.9.7
|