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--- |
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pipeline_tag: text-classification |
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library_name: turftopic |
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tags: |
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- turftopic |
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- topic-modelling |
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--- |
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# kardosdrur/testing_s3 |
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This repository contains a topic model trained with the [Turftopic](https://github.com/x-tabdeveloping/turftopic) Python library. |
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To load and use the model run the following piece of code: |
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```python |
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from turftopic import load_model |
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model = load_model(kardosdrur/testing_s3) |
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model.print_topics() |
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``` |
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## Model Structure |
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The model is structured as follows: |
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``` |
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SemanticSignalSeparation(decomposition=FastICA(n_components=10), |
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vectorizer=CountVectorizer(min_df=10, |
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stop_words='english')) |
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``` |
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## Topics |
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The topics discovered by the model are the following: |
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| Topic ID | Highest Ranking | Lowest Ranking | |
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| - | - | - | |
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| 0 | goaltenders, nhl, bullpen, sabres, goaltender, puckett, leafs, braves, pitchers, canucks | accelerator, malaysia, automobile, accelerators, mazda, automobiles, automotive, vehicle, silicon, britain | |
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| 1 | saturn, suzuki, symptoms, jupiter, bmw, exhaust, volvo, engine, mazda, propulsion | wiretapping, wiretaps, nsa, spying, eavesdropping, wiretap, security, encryption, enforcement, safeguarding | |
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| 2 | drawbacks, advantages, productivity, efficiency, innovation, economical, disadvantages, proponents, competitiveness, economically | address, instructions, serial, arrived, codes, configured, 9591, 16550, contacting, recieved | |
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| 3 | publishes, archives, publisher, scholars, manuscripts, npr, affiliated, revelations, discusses, archive | motorcycling, motorcycles, speeding, motorcycle, driving, motorcyclist, riding, harleys, braking, vehicles | |
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| 4 | motherboard, ram, motherboards, processor, cmos, hardware, chipset, chipsets, amd, mb | yale, sunroof, damphousse, library, npr, billboards, balloon, schools, kerosene, nicholas | |
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| 5 | palestinians, palestinian, gazans, gaza, genocide, israelis, atrocities, israeli, hamas, holocaust | motorola, mastercard, technician, smartdrive, telephony, transmissions, phones, electronically, voyager, cruising | |
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| 6 | spectrometer, makefile, biochemistry, dblspace, bibliography, booklet, bookstores, circumference, nutritional, statistically | uh, um, em, yeah, oh, er, ah, yer, yo, ye | |
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| 7 | theology, theological, scripture, theologians, christianity, biblical, agnosticism, devout, agnostic, christians | missiles, munitions, soviets, artillery, bunker, missile, explosives, tactical, grenades, soviet | |
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| 8 | causes, metabolism, obstruction, bugging, xsession, disabling, debugger, behaviour, syndrome, occurs | prices, pricing, price, affordable, cheap, forsale, inexpensive, cost, purchases, priced | |
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| 9 | xcreatewindow, programmable, bitmap, bitmaps, colormaps, freeware, gui, imagewriter, colormap, adobe | discrepancy, inaccuracies, defective, debacle, unrecognized, faulty, misconception, sceptical, refutation, warranted | |
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## Package versions |
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The model in this repo was trained using the following package versions: |
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| Package | Version | |
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| - | - | |
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| scikit-learn | 1.3.2 | |
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| sentence-transformers | 3.2.0 | |
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| turftopic | 0.6.0 | |
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| joblib | 1.2.0 | |
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We recommend that you install the same, or compatible versions of these packages locally, before trying to load a model. |
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