- Semantic Search: Measuring Meaning From Jaccard to Bert - Jul 2, 2021.
In this article, we’ll cover a few of the most interesting — and powerful — of these techniques — focusing specifically on semantic search. We’ll learn how they work, what they’re good at, and how we can implement them ourselves.
BERT, NLP, Search, Similarity, Text Analytics
- A Graph-based Text Similarity Method with Named Entity Information in NLP - Jun 16, 2021.
In this article, the author summarizes the 2017 paper "A Graph-based Text Similarity Measure That Employs Named Entity Information" as per their understanding. Better understand the concepts by reading along.
Graphs, NLP, Similarity, Text Analytics
- Similarity Metrics in NLP - May 10, 2021.
This post covers the use of euclidean distance, dot product, and cosine similarity as NLP similarity metrics.
Metrics, NLP, Similarity
- Simple Question Answering (QA) Systems That Use Text Similarity Detection in Python - Apr 7, 2020.
How exactly are smart algorithms able to engage and communicate with us like humans? The answer lies in Question Answering systems that are built on a foundation of Machine Learning and Natural Language Processing. Let's build one here.
NLP, Python, Question answering, Similarity, Text Analytics
- Building a Bot to Answer FAQs: Predicting Text Similarity - Mar 2, 2017.
In this post, learn to build a bot to answer frequently asked questions, reducing lag time for more customers and taking the load off of engineers, ensuring they can concentrate on building products!
Chatbot, Python, Similarity
- Fundamental methods of Data Science: Classification, Regression And Similarity Matching - Jan 12, 2015.
Data classification, regression, and similarity matching underpin many of the fundamental algorithms in data science to solve business problems like consumer response prediction and product recommendation.
Classification, Data Science, Regression, Similarity
- ADW, free software to measure semantic similarity - Oct 13, 2014.
ADW is a software for measuring semantic similarity of arbitrary pairs of lexical items, from word senses to texts, based on "Align, Disambiguate, and Walk", a WordNet-based state-of-the-art semantic similarity approach. Get it on github.
Natural Language Processing, Semantic Analysis, Similarity, WordNet
