WebI am working as a Python developer at Searchblox Private Limited,it is a search AI based firm .On a daily basis ,I get to handle huge text corpus and text data for data analysis and cleaning... WebLeading Data Science solution design, development and delivery for Accenture Internal and External clients - Leveraged 10 years unstructured data and NLP methods like Topic modeling, Text clustering, sentiment analysis, feature extraction (word2vec), semantic similarity (WUP, WMD), ANN classification to develop person profile enriched with key …

Similarity API Documentation

Web16 Mar 2024 · Document Centroid Vector. The simplest way to compute the similarity between two documents using word embeddings is to compute the document centroid … Web4 Oct 2024 · Calculating the similarity between two pieces of text is a very useful activity in the field of data mining and natural language processing (NLP). This allows both to … hedypnois rhagadioloides

python - Text classification based on n-grams and similarity - Data ...

Web9 Mar 2024 · We can also use text similarity in document recommendations. Some Q&A websites such as Quora and StackOverflow can also use text similarity to find similar … WebI also conducted a series of Python and practical deep learning workshops for law students at the Univerity of Oslo's LegalTech course. The learning outcome was a simple neural network for extracting liability clauses from contracts. If you are interested in conducting a similar workshop for your organization, feel free to contact me. Web30 Aug 2024 · Finding the similarity between texts with Python First, we load the NLTKand Sklearnpackages, lets define a list with the punctuation symbols that will be removed … hedy nassar