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GitHub / anuragkr29 / TweetAnalysis
Work with a set of Tweets about US airlines and examine their sentiment polarity.The aim is to learn to classify Tweets as either “positive”, “neutral”, or “negative” by using two classifiers and pipelines for pre-processing and model building.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/anuragkr29%2FTweetAnalysis
Stars: 0
Forks: 0
Open Issues: 0
License: mit
Language: Scala
Repo Size: 4.88 KB
Dependencies: pending
Created: almost 5 years ago
Updated: 10 months ago
Last pushed: almost 5 years ago
Last synced: 10 months ago
Topics: dataframe, machine-learning-pipelines, rdd, scala, sentiment-analysis, spark, stopwords-removal, tokenizer, tweets