Feature extraction and text categorization by ensembles of multimodel algorithms (Record no. 237109)
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| 000 -LEADER | |
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| fixed length control field | 01062nam a2200121Ia 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 231221s9999 xx 000 0 und d |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Shraddha P Gaikwad. |
| 245 #0 - TITLE STATEMENT | |
| Title | Feature extraction and text categorization by ensembles of multimodel algorithms |
| Remainder of title | Dinesh Singh. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Date of publication, distribution, etc. | Jan-May 2019 |
| Name of publisher, distributor, etc. | PES University |
| Place of publication, distribution, etc. | Bengaluru |
| 510 ## - CITATION/REFERENCES NOTE | |
| Name of source | Feature Extraction/Selection for any machine learning algorithms is of utmost importance. It is the step which helps in easy implementation of algorithms by selecting only the important features for further analysis. The project deals with automated text classification, implementing which Random Multimodel Neural Networks, solving the problem of classifiying the text more accurately as it randomly generates neural network models for CNN,RNN and DNN. The salient features of the application would be to automate and make pre-processing task of cleaning and feature extraction much easy and automated, on a single user click and then use this pre-processes data for text classification. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Compact Disks |
| Date last seen | Total checkouts | Accession number | Price effective from | Category | Lost status | Damaged status | Withdrawn status | Home library | Current library | Entry date | Grants | Currency symbol | Conversion rate | Discount |
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| 26/01/2024 | CD7236 | 26/01/2024 | Compact Disks | Central Library | Central Library | CS/PG | RS | 1 |