kavgan/nlp-in-practice

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

1.2k 786 +0/wk

GitHub

gensim machine-learning natural-language-processing nlp text-classification text-mining tf-idf word2vec

Trend 0

Star & Fork Trend (17 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 1.2k

forks 786

Growth Velocity

kavgan/nlp-in-practice has +0 stars this period . 7-day velocity: -0.1%.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	nlp-in-practice	flow	seqeval	rag-search
Stars	1.2k	1.2k	1.2k	1.2k
Forks	786	392	131	169
Weekly Growth	+0	+0	+0	+0
Language	Jupyter Notebook	Python	Python	Python
Sources	1	1	1	1
License	N/A	MIT	MIT	Apache-2.0

Capability Radar vs flow

nlp-in-practice

flow

Maintenance Activity 0

Last code push 1953 days ago.

Community Engagement 20

Fork-to-star ratio: 66.6%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 30

No clear license detected — proceed with caution.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.