Clarifai/clarifai-python-datautils

Extract Transform and Load unstructured data into the Clarifai's AI platform

Language: Python - Size: 1.05 MB - Last synced at: 12 days ago - Pushed at: 24 days ago - Stars: 6 - Forks: 0

krishcy25/ChatBot-Interactive

This ChatBot was implemented using NLTK (Natural Language ToolKit) with Python. ChatBot uses rule based retrieving of providing definitions to Machine Learning and Statistics terms based on user request. For simplicity, only few terms were added to the ChatBot response file

Language: Jupyter Notebook - Size: 2.08 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

canro91/Parsinator

Parsinator turns structured and unstructured text into a header-detail representation

Language: C# - Size: 155 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 8 - Forks: 0

Agenta-AI/job_extractor_template

Template for an AI application that extracts the job information from a job description using openAI functions and langchain

Language: Python - Size: 15.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

rutvik5/knowledge-graph

Generate knowledge graph from unstructured text

Language: Python - Size: 227 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 47 - Forks: 14

OlehOleinikov/multiple-row-record_normalizing_excel

Normalizing multiple-row-record in a table (bank statement example). Getting a table with normalized records (one record corresponds to one row)

Language: Python - Size: 675 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

pradeepdev-1995/Index-based-semantic-similarity-unstructured-data-search

Unstructured data refers to information that is not organised using a predetermined data model or schema and cannot be stored in a conventional relational database system. There are several methods for search unstructured data semantically- That is by taking the actual context/meaning of the sentences.One best approach is index based approach.

Language: Jupyter Notebook - Size: 249 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

axenhammer/Emogram

A small tool to normalize and extract values from unstructured text messages.

Language: Python - Size: 83 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 5 - Forks: 0

OlehOleinikov/text_parser_otp_bank_statement

Get a structured table with the ability to sort and filter data (for simple office use) from text heap of PDF bank statement

Language: Python - Size: 1.28 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

Promeos/natural-language-processing-exercises

Language: Jupyter Notebook - Size: 8.11 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0