Alternatives and similar repositories for text-analytics-service-example:

Users that are interested in text-analytics-service-example are comparing it to the libraries listed below

• crawles / gpdb_sentiment_analysis_twitter_model
  Build a sentiment classifier using PL/Python on PostgreSQL, Greenplum Database, or Apache HAWQ
  ☆8Updated 7 years ago
• thedataincubator / pydata2016
  A couple projects using scikit-learn illustrating project decision making.
  ☆15Updated 8 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 8 years ago
• vatsan / text_analytics_on_mpp
  Collection of tutorials on text analytics/NLP, including vector space models, neural language models and topic models on the Pivotal MPP …
  ☆17Updated 8 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 9 years ago
• DistrictDataLabs / intro-to-nltk
  Code and Notebooks for the Natural Language Processing with Python course.
  ☆66Updated 7 years ago
• zygmuntz / kaggle-happiness
  Predicting happiness from demographics and poll answers
  ☆45Updated 8 years ago
• vmware-archive / tasa
  Topic and sentiment analysis of tweets (demo)
  ☆11Updated 6 years ago
• holdenk / spark-intro-ml-pipeline-workshop
  A simple introduction to using spark ml pipelines
  ☆26Updated 6 years ago
• mapr-demos / spark-sklearn-airbnb-predict
  Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark with spark-sklearn, on MapR.
  ☆44Updated 8 years ago
• kickback / time_series_with_python
  ☆11Updated 8 years ago
• thedataincubator / practical-ml
  ☆24Updated 6 years ago
• bdewilde / pygotham_2016
  code and slides for my PyGotham 2016 talk, "Higher-level Natural Language Processing with textacy"
  ☆15Updated 8 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 6 years ago
• jcrist / Dask_PyData_NYC
  Materials for dask talk at PyData NYC
  ☆15Updated 9 years ago
• amueller / pydata-nyc-advanced-sklearn
  Notebooks (and slides) for my PyData NYC 2014 tutorial on the more advanced features of scikit-learn.
  ☆69Updated 10 years ago
• brakmic / Data-Science-for-Losers
  Articles on Data Science, Jupyter, and Pandas
  ☆18Updated 9 years ago
• karthikmswamy / TFTutorials
  Contains code for understanding TensorFlow workflow and basics
  ☆51Updated 7 years ago
• yhat / yhat-client
  Python client for ScienceOps
  ☆29Updated 5 years ago
• mdagost / pug_classifier
  Deep Learning for Pugs
  ☆74Updated 7 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• datitran / cf-demo
  End-to-end data science example running on Cloud Foundry
  ☆19Updated 8 years ago
• ellisonbg / talk-2014-strata-sc
  My talk at Strata 2014 in Santa Clara, CA
  ☆73Updated 11 years ago
• unnati-xyz / luigi-sample
  Sample repo for luigi tasks & config
  ☆36Updated 8 years ago
• mdh266 / AirflowETL
  Blog post on ETL pipelines with Airflow
  ☆23Updated 4 years ago
• gilbertfrancois / pydata2018-tagging
  ☆25Updated 6 years ago
• JasonSanchez / spark-streaming-twitter-kafka
  Ingest tweets with Kafka. Use Spark to track popular hashtags and trendsetters for each hashtag
  ☆29Updated 8 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• crawles / sentiment_analysis_twitter_model
  Build an accurate sentiment model using Python with scikit-learn
  ☆10Updated 8 years ago