Grouping of facebook posts for engagement analysis
-
Updated
Aug 21, 2017 - Python
Grouping of facebook posts for engagement analysis
A fork of Kyle Cronan's Python 2.5 pdftable library, now updated for Python 3
Text-mining & classification framework
Paraphrasing based on backtranslation
Text-mining using PubMed abstracts for analyzing significant genes.
Exploration of the Twitter API and sentiment & topic analysis on tweets relevant to COVID-19
Ulya Bayram, Runia Roy, Aqil Assalil, Lamia Ben Hiba, "The Unknown Knowns: A Graph-Based Approach for Temporal COVID-19 Literature Mining", Online Information Review (OIR), COVID-19 Special Issue, 2021.
Text mining in Python
A visualized text mining and analysis tool for student markdown reflection documents based on Natural language processing in the Dept of CS at Allegheny College.
Transform textual information to structured metadata in MDTO-format.
A text mining tool for developing visual and interactive relationship networks from PubMed article information.
An NLP powered application that includes features for spam detection, sentiment analysis, stress detection, hate & offensive content detection, alongwith sarcasm detection. It leverages Natural Language Processing (NLP) techniques and ML models to analyze & classify text inputs, enabling smarter content moderation & emotional insights.
AI pipeline that mines Spotify user reviews to answer why people struggle to discover new music: collect → filter → LLM-tag (theme/sentiment/pain point) → synthesize findings. Runnable in Google Colab with no API key.
Data, analysis code, and reproducible outputs for the PACIS 2025 paper on AI curriculum and industry-demand alignment in Taiwan.
Sentiment analysis web app for Bank Jago reviews using Custom BiLSTM and GloVe embeddings. Built with Python and Streamlit.
To associate your repository with the textmining topic, visit your repo's landing page and select "manage topics."