Boris Orekhov

nevmenandr

https://nevmenandr.github.io/

nevmenandr

AI & ML interests

Natural Language Processing, Poetry Generation, Linguistics, Low-resource languages

Organizations

Posts 3

Post

398

nevmenandr/incoming-students-ma-dh-hse-university
Dataset visualized by datawrapper

<div style="min-height:494px"><script type="text/javascript" defer src="https://datawrapper.dwcdn.net/q3waH/embed.js?v=2" charset="utf-8"></script><noscript><img src="https://datawrapper.dwcdn.net/q3waH/full.png" alt="" /></noscript></div>

Data from my talk in February: https://www.youtube.com/watch?v=ZfXqvIzl5fo . Slides: https://nevmenandr.github.io/slides/2024-02-02/slides.pdf.

Post

1283

nevmenandr/w2v-russian-tolstoy

import gensim
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
%matplotlib inline

import seaborn as sns
sns.set_style("darkgrid")

from sklearn.decomposition import PCA
from sklearn.manifold import TSNE

modelLNT2 = Word2Vec.load("cbow_300_10.model")

# skip some code... for full version see model's card

tsnescatterplot(modelLNT2, 'жизнь_S', [i[0] for i in modelLNT2.wv.most_similar(negative=["жизнь_S"])])