Sentiment Analysis from Scratch | DataHour by Prashant Sahu
18.2 هزار بار بازدید -
2 سال پیش
-
GitHub Repo for Project Files:
GitHub Repo for Project Files: https://github.com/prashant9501/DataHour
Natural Language Processing (NLP) is a hotbed of research in data science these days and one of the most common applications of NLP is sentiment analysis. From opinion polls to creating entire marketing strategies, this domain has completely reshaped the way businesses work, which is why this is an area every data scientist must be familiar with.
Let's code a Sentiment Analysis project from scratch using Python (100% hands-on) together in the live session. In this DataHour, Prashant will cover regular NLP tasks, e.g., data cleaning using regex, stopwords, stemming, lemmatization & finally visualizing the results. Furthermore we'll do feature extraction on textual data (Bag of Words models) followed by ML model building & evaluation (incl. hyperparam tuning using pipelines!)
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Natural Language Processing (NLP) is a hotbed of research in data science these days and one of the most common applications of NLP is sentiment analysis. From opinion polls to creating entire marketing strategies, this domain has completely reshaped the way businesses work, which is why this is an area every data scientist must be familiar with.
Let's code a Sentiment Analysis project from scratch using Python (100% hands-on) together in the live session. In this DataHour, Prashant will cover regular NLP tasks, e.g., data cleaning using regex, stopwords, stemming, lemmatization & finally visualizing the results. Furthermore we'll do feature extraction on textual data (Bag of Words models) followed by ML model building & evaluation (incl. hyperparam tuning using pipelines!)
Stay on top of your industry by interacting with us on our social channels:
Follow us on Instagram: Instagram: analytics_vidhya
Like us on Facebook: Facebook: AnalyticsVidhya
Follow us on Twitter: Twitter: AnalyticsVidhya
Follow us on LinkedIn:LinkedIn: analytics-vidhya
2 سال پیش
در تاریخ 1401/09/23 منتشر شده
است.
18,255
بـار بازدید شده