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iMahdiGhazavi/
bertopic-crypto-topic-modeling

Name: bertopic-crypto-topic-modeling
Availability: InStock

bertopic

text-classification

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bertopic-crypto-topic-modeling

This is a BERTopic model. BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.

Usage

To use this model, please install BERTopic:

pip install -U bertopic

You can use the model as follows:

python

from bertopic import BERTopic
topic_model = BERTopic.load("iMahdiGhazavi/bertopic-crypto-topic-modeling")

topic_model.get_topic_info()

Topic overview

Number of topics: 50
Number of training documents: 4000

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	bitcoin - btc - crypto - buy - cryptocurrency	10	-1_bitcoin_btc_crypto_buy
0	around - see - would - bitcoin - go	1215	0_around_see_would_bitcoin
1	bitcoin - buy - fix - want - love	363	1_bitcoin_buy_fix_want
2	project - airdrop - team - great - always	304	2_project_airdrop_team_great
3	covidvaccine - covid - vaccine - dose - get	288	3_covidvaccine_covid_vaccine_dose
4	interoperable - struggle - libonomy - link - coin	275	4_interoperable_struggle_libonomy_link
5	airdrop - bsc - airdropinspector - dinowallet - binancesmartchain	134	5_airdrop_bsc_airdropinspector_dinowallet
6	binancesmartchain - binance - pancakeswap - tg - launchedjoin	129	6_binancesmartchain_binance_pancakeswap_tg
7	cryptocurrency - gt - denation - crypto - btc	98	7_cryptocurrency_gt_denation_crypto
8	bitcoin - giveaway - opt - scalp - short	94	8_bitcoin_giveaway_opt_scalp
9	tradingview - thought - idea - binancebtcusdt - trade	62	9_tradingview_thought_idea_binancebtcusdt
10	dev - everrise - core - utility - everown	61	10_dev_everrise_core_utility
11	cryptocurrencie - technology - fintech - morbex - money	53	11_cryptocurrencie_technology_fintech_morbex
12	bitfinex - rebound - spike - record - crash	51	12_bitfinex_rebound_spike_record
13	link - doge - eth - sol - update	50	13_link_doge_eth_sol
14	positionv - entry - target - stop - signal	47	14_positionv_entry_target_stop
15	bet - odd - betting - gamblingtwitter - wager	43	15_bet_odd_betting_gamblingtwitter
16	plastic - ico - investment - arno - plasticfinance	40	16_plastic_ico_investment_arno
17	kitkart - addressovwmdgywzcvyqundajjrnjatchpre - io - android - donate	37	17_kitkart_addressovwmdgywzcvyqundajjrnjatchpre_io_android
18	davido - igbo - delivery - ibadan - giroud	37	18_davido_igbo_delivery_ibadan
19	crush - superb - preserve - competition - completely	34	19_crush_superb_preserve_competition
20	coinhuntworld - vault - location - awesome - play	32	20_coinhuntworld_vault_location_awesome
21	tweet - follow - tone - tips - insight	32	21_tweet_follow_tone_tips
22	malaysia - miner - btcusd - crush - hourly	31	22_malaysia_miner_btcusd_crush
23	currently - breathe - jumpy - dismiss - mofos	31	23_currently_breathe_jumpy_dismiss
24	change - coinbase - pro - worried - month	30	24_change_coinbase_pro_worried
25	cryptonews - rixx - ethereum - mover - report	28	25_cryptonews_rixx_ethereum_mover
26	ksi - superstar - lose - jj - youtube	28	26_ksi_superstar_lose_jj
27	block - tx - tictoknextblock - recipient - gmt	28	27_block_tx_tictoknextblock_recipient
28	ape - nftcommunity - nftartist - nftart - nftcollector	23	28_ape_nftcommunity_nftartist_nftart
29	onestop - legendary - trading - shop - usdt	22	29_onestop_legendary_trading_shop
30	america - client - bank - illegal - petroleum	22	30_america_client_bank_illegal
31	fence - bear - long - market - last	18	31_fence_bear_long_market
32	forex - invest - business - stock - entrepreneur	18	32_forex_invest_business_stock
33	avg - hour - xbt - xbtusd - information	17	33_avg_hour_xbt_xbtusd
34	pumping - challenge - cryptos - recover - interested	17	34_pumping_challenge_cryptos_recover
35	price - current - agree - bitcoin - early	17	35_price_current_agree_bitcoin
36	account - procedure - immediately - worry - management	16	36_account_procedure_immediately_worry
37	credit - card - fast - exchange - xrp	16	37_credit_card_fast_exchange
38	day - avg - move - low - high	15	38_day_avg_move_low
39	bonus - startup - person - hi - dm	15	39_bonus_startup_person_hi
40	last - price - drop - compare - right	14	40_last_price_drop_compare
41	usd - safemoon - price - dogecoin - ethereum	14	41_usd_safemoon_price_dogecoin
42	donation - willing - collect - initial - monetary	14	42_donation_willing_collect_initial
43	value - decrease - euro - last - lose	14	43_value_decrease_euro_last
44	token - bll - billiontoken - milliontoken - milion	14	44_token_bll_billiontoken_milliontoken
45	help - address - xdecbdabddbe - dear - hi	13	45_help_address_xdecbdabddbe_dear
46	technicalanalysis - technical - analysis - jpy - eur	13	46_technicalanalysis_technical_analysis_jpy
47	xddddabd - emojiday - cryptogiveaway - giveaway - amp	12	47_xddddabd_emojiday_cryptogiveaway_giveaway
48	asic - cryptomine - yieldfarming - bitcoinmine - tool	11	48_asic_cryptomine_yieldfarming_bitcoinmine

Training hyperparameters

calculate_probabilities: True
language: None
low_memory: False
min_topic_size: 10
n_gram_range: (1, 1)
nr_topics: 50
seed_topic_list: None
top_n_words: 10
verbose: True
zeroshot_min_similarity: 0.7
zeroshot_topic_list: None

Framework versions

Numpy: 1.25.2
HDBSCAN: 0.8.33
UMAP: 0.5.6
Pandas: 2.0.3
Scikit-Learn: 1.2.2
Sentence-transformers: 2.6.1
Transformers: 4.38.2
Numba: 0.58.1
Plotly: 5.15.0
Python: 3.10.12