text_mining_resources
Resources for learning about Text Mining and Natural Language Processing
https://github.com/stepthom/text_mining_resources
Last synced: 8 days ago
JSON representation
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Blog Articles, Papers, Case Studies
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Q&A Systems, Chatbots <a id="qa-systems"></a>
- Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot
- The Road to a Conversational Banking Future-February 2019
- Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot
- The Road to a Conversational Banking Future-February 2019
- Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot
- The Road to a Conversational Banking Future-February 2019
- Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot
- The Road to a Conversational Banking Future-February 2019
- Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot
- The Road to a Conversational Banking Future-February 2019
- NLP — Building a Question Answering model
- NLP — Building a Question Answering model
- NLP — Building a Question Answering model
- NLP — Building a Question Answering model
- Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot
- Create a banking chatbot with FAQ discovery, anger detection and natural language understanding
- The Road to a Conversational Banking Future-February 2019
- Ultimate Guide to Leveraging NLP & Machine Learning for your Chatbot
- A Survey on Dialogue Systems: Recent Advances and New Frontiers
- The Road to a Conversational Banking Future-February 2019
- Li Deng at AI Frontiers: Three Generations of Spoken Dialogue Systems (Bots)
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Sarcasm Detection
- CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
- A Deeper Look into Sarcastic Tweets Using Deep Convolutional Neural Networks
- Detecting Sarcasm with Deep Convolutional Neural Networks
- Automatic Sarcasm Detection: A Survey
- CASCADE: Contextual Sarcasm Detection in Online Discussion Forums
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Scraping
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Scraping HTML using Scrapy
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Extract text from any document; no muss, no fuss.
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Using Scrapy to Build your Own Dataset
- Extract text from any document; no muss, no fuss.
- Extract text from any document; no muss, no fuss.
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Sentiment Analysis
- CACM: Techniques and Applications for Sentiment Analysis
- Lexicon-Based Methods for Sentiment Analysis - CAL (Semantic Orientation CALculator), a measure of subjectivity and opinion for sentimental analysis.
- That Sentimental Feeling - syuzhet-validation/).
- Unsupervised Sentiment Neuron
- Sentiment Analysis Tools Overview, Part 1. Positive and Negative Words Databases
- Twitter sentiment analysis using combined LSTM-CNN models
- A comparison of Lexicon-based approaches for Sentiment Analysis of microblog posts - based approach for sentiment analysis of Twitter posts, based on lexical resources such as SentiWordNet.
- On the negativity of negation
- Challenges in Sentiment Analysis
- A survey on sentiment analysis challenges - seven papers.
- Sentiment analysis on Trump's tweets using Python
- Donald Trump vs Hillary Clinton: sentiment analysis on Twitter mentions
- Does sentiment analysis work? A tidy analysis of Yelp reviews
- Twitter mood predicts the stock market
- Forbes: How Quant Traders Use Sentiment To Get An Edge On The Market
- Sentdex: Quantifying the Qualitative
- Harry Plotter: Celebrating the 20 year anniversary with tidytext and the tidyverse in R
- Cannes Lions 2017: Hungerithm, Mars Chocolate Australia (Clemenger BBDO, Melbourne)
- What Your Boss Could Learn by Reading the Whole Company’s Emails - mails). Text analytics and NLP have become an increasingly popular approach to help search for clues that may indicate the level of employee engagement in the workplace, and any potential ‘red-flags’ that should receive particular attention by an organization and its ethical implications.
- Aspect Based Sentiment Analysis of Amazon Product Reviews
- Sentiment Analysis of 2.2 million tweets from Super Bowl 51
- Emotion and Sentiment Analysis: A Practitioner’s Guide to NLP
- Streaming Analytics Tutorial on Azure
- How to Analyze sentiment in Azure
- how-to-perform-sentiment-analysis-using-python-tutorial/
- Twitter Sentiment Analysis Overview - by-step walkthrough on how to perform sentiment analysis using TextBlob.
- Twitter Sentiment Analysis in Python using TextBlob
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Current State of Text Sentiment Analysis from Opinion to Emotion Mining
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Breakthrough Research Papers and Models for Sentiment Analysis
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- Sentiment analysis, Concept analysis and Applications
- Sentiment analysis: 10 applications and 4 services
- ELMO embeddings in Keras using Tensorflow Hub
- ELMO embeddings in Keras using Tensorflow Hub
- ELMO embeddings in Keras using Tensorflow Hub
- ELMO embeddings in Keras using Tensorflow Hub
- ELMO embeddings in Keras using Tensorflow Hub
- ELMO embeddings in Keras using Tensorflow Hub
- ELMO embeddings in Keras using Tensorflow Hub
- CACM: Techniques and Applications for Sentiment Analysis
- Current State of Text Sentiment Analysis from Opinion to Emotion Mining
- Sentiment analysis, Concept analysis and Applications
- On the negativity of negation
- Does sentiment analysis work? A tidy analysis of Yelp reviews
- Sentdex: Quantifying the Qualitative
- Trump2Cash: A stock trading bot powered by Trump tweets - traded companies. A [related blog article](https://medium.com/@maxbraun/this-machine-turns-trump-tweets-into-planned-parenthood-donations-4ece8301e722#.3232hx7gx) describes a bot that turns Trump's tweets into Planned Parenthood donations.
- Sentiment Analysis of 2.2 million tweets from Super Bowl 51
- Lexicon-Based Methods for Sentiment Analysis - CAL (Semantic Orientation CALculator), a measure of subjectivity and opinion for sentimental analysis.
- Sentiment Analysis Tools Overview, Part 1. Positive and Negative Words Databases
- Data Science 101: Sentiment Analysis in R Tutorial
- That Sentimental Feeling - syuzhet-validation/).
- Forbes: How Quant Traders Use Sentiment To Get An Edge On The Market
- Breakthrough Research Papers and Models for Sentiment Analysis
- VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text - based model of sentiment analysis.
- Twitter sentiment analysis using combined LSTM-CNN models
- how-to-perform-sentiment-analysis-using-python-tutorial/
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Stemming
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Stop Words
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Text Summarization
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Transformers and Language Models
- Understanding Large Language Models
- A Primer in BERTology: What we know about how BERT works
- The Illustrated BERT, ELMo, and co. (How NLP Cracked Transfer Learning)
- Machines Beat Humans on a Reading Test. But Do They Understand?
- the transformer … “explained”?
- The Illustrated Transformer
- OpenAI: Better Language Models and Their Implications - trained Transformer-based unsupervised language model that achieves state-of-the-art on many language benchmarks with focus on text generation. Controversial limited release. February 14, 2019.
- ChatGPT User Experience: Implications for Education
- New Modes of Learning Enabled by AI Chatbots: Three Methods and Assignments
- Educators Battle Plagiarism As 89% Of Students Admit To Using OpenAI’s ChatGPT For Homework
- ChatGPT: Educational friend or foe? - Pasek and Blinkoff (Temple University). January 2023.
- Don’t Ban ChatGPT in Schools. Teach With It.
- ChatGPT and the Future of Business Education
- Udemy course (January 2023). ChatGPT for Teachers in Education.
- A review of BERT based models
- BERT Explained - State of the art language model for NLP
- A review of BERT based models
- BERT Explained - State of the art language model for NLP
- A review of BERT based models
- BERT Explained - State of the art language model for NLP
- A review of BERT based models
- BERT Explained - State of the art language model for NLP
- A review of BERT based models
- BERT Explained - State of the art language model for NLP
- A review of BERT based models
- BERT Explained - State of the art language model for NLP
- A review of BERT based models
- BERT Explained - State of the art language model for NLP
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Programming Languages
Categories
Sub Categories
Knowledge Graphs
253
Sentiment Analysis
110
Q&A Systems, Chatbots <a id="qa-systems"></a>
107
Concept Analysis/Topic Modeling <a id="concept-analysis"></a>
61
Transformers and Language Models
57
Lexicons for Sentiment Analysis
53
General <a id="general-articles"></a>
43
Word and Document Embeddings
33
Document Classification
31
Cleaning
29
Scraping
24
Deep Learning
22
Document Clustering and Document Similarity
10
Fuzzy Matching, Probabilistic Matching, Record Linkage, Etc. <a id="fuzzy-matching"></a>
9
Machine Translation
8
Stemming
6
Biases in NLP
6
Dimensionality Reduction
6
Sarcasm Detection
5
Entity and Information Extraction
5
Text Summarization
4
Stop Words
2
Keywords
natural-language-processing
10
nlp
9
machine-learning
8
python
6
text-mining
4
pdf
3
word-embeddings
3
pytorch
3
deep-learning
3
tensorflow
3
text-visualization
2
topic-modeling
2
computational-social-science
2
transformer
2
record-linkage
2
python-library
2
twitter
2
dataset
2
entity-resolution
2
dedupe
2
r
1
tidy-data
1
tidyverse
1
dedupe-library
1
data-extraction
1
extract
1
java
1
layout
1
pdfbox
1
text
1
attention
1
bert
1
paper
1
tutorial
1
bot
1
trading
1
trump
1
leaderboard
1
visual-analysis
1
bots
1
chatbot
1
chatgpt
1
chatgpt-api
1
language
1
artificial-intelligence-algorithms
1
artificial-neural-networks
1
bayesian-statistics
1
computer-vision
1
deep-neural-networks
1
deep-reinforcement-learning
1