PetrKorab

Arabica

Python package for exploratory text data analysis

Advanced-Visualisations-for-Text-Data-Analysis

Clustering-Textual-Data-with-Word2Vec

Pythonic approach to clustering text data with Word2vec model

Text-Network-Analysis-A-Concise-Review-of-Network-Construction-Methods

Text-Network-Analysis-Generate-Beautiful-Network-Visualisations

Training-Neural-Networks-to-Create-Text-Like-a-Human

Simple text generation with TensorFlow

Exploratory-Data-Analysis-of-Text-Data---Do-it-Faster-with-TextData

The-Most-Favorable-Pre-trained-Sentiment-Classifiers-in-Python

FinVADER

VADER sentiment classifier updated with financial lexicons

Animated-Word-Cloud

Animated version of classic word cloud for time-series text data

Contour-Plots-and-Word-Embedding-Visualisation

Application of contour plot for word embedding visualization

Fine-tuning-VADER-with-Domain-specific-Lexicons

Updating VADER classifier with domain lexicons (Finance)

Google-trends-dashboard

Text-Data-Pre-processing-for-Time-series-Models

Pre-processing of large text datasets for time-series models

Topic-Modelling-with-BERTtopic-in-Python

Linking BERTopic with Arabica in n-gram analysis

Customer-Satisfaction--N-gram-and-Sentiment-Analysis

Customer satisfaction masurement with time-series text mining methods

END-to-END-LDA-in-Python

Practical introduction to LDA modeling with bigram frequencies in Python

Research-Article-Meta-data-Description-Quick-and-Easy

Summarize essential information from research meta-data with n-gram and sentiment analysis