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yeniguno/
bertopic-turkish-political

Name: bertopic-turkish-political
Availability: InStock

bertopic

text-classification

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bertopic-turkish-political

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.

This model is fine tuned on a custom dataset of Turkish political comments.

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("yeniguno/bertopic-turkish-political", embedding_model="sentence-transformers/paraphrase-multilingual-mpnet-base-v2")

topic_model.get_topic_info()

text = "Belediye, sokak hayvanları için yeni bir proje başlattı."
predictions, probabilities = topic_model.transform(text)

Topic overview

Number of topics: 10
Number of training documents: 45249

Click here for an overview of all topics.

Topic ID	Topic Keywords	Topic Frequency	Label
-1	türkiye - halk - iktidar - muhalefet - seçmen	281	-1_türkiye_halk_iktidar_muhalefet
0	türkiye - atatürk - seçmen - siyaset - halk	20262	0_türkiye_atatürk_seçmen_siyaset
1	olmak - iktidar - ekonomik - gerekmek - görüş	12760	1_olmak_iktidar_ekonomik_gerekmek
2	seçim - seçmen - koalisyon - meclis - ittifak	3395	2_seçim_seçmen_koalisyon_meclis
3	medya - milliyet - muhalefet - politik - faşist	3065	3_medya_milliyet_muhalefet_politik
4	terör - şiddet - saldırı - terörist - toplum	2437	4_terör_şiddet_saldırı_terörist
5	mahkeme - yargı - toplum - kavram - hukuk	1641	5_mahkeme_yargı_toplum_kavram
6	seçim - meclis - endişe - sonuç - zor	648	6_seçim_meclis_endişe_sonuç
7	köpek - sokak - park - protesto - taksi	473	7_köpek_sokak_park_protesto
8	cinsiyet - lgbt - siyaset - cinsel - tecavüz	287	8_cinsiyet_lgbt_siyaset_cinsel

Training hyperparameters

calculate_probabilities: False
language: None
low_memory: False
min_topic_size: 100
n_gram_range: (1, 1)
nr_topics: 10
seed_topic_list: None
top_n_words: 10
verbose: False
zeroshot_min_similarity: 0.7
zeroshot_topic_list: None

Framework versions

Numpy: 1.26.4
HDBSCAN: 0.8.40
UMAP: 0.5.7
Pandas: 2.2.2
Scikit-Learn: 1.6.1
Sentence-transformers: 3.3.1
Transformers: 4.47.1
Numba: 0.60.0
Plotly: 5.24.1
Python: 3.11.11