Sentiment analysis in under two minutes with no coding!


3 min • 19 May, 2020

Learn how to run a sentiment analysis in under two minutes with GYANA, the no-code data science notebook!

Sentiment analysis is the stuff a marketer’s dreams are made of. Gauging sentiment is valuable for any organisation looking to understand the public opinion of a product, event, brand, entity, or person.

At its core, sentiment analysis tells us how people feel about something. It studies the subjective information within a piece of writing, classifying each expression as positive, negative, or neutral.

Organisations can then take their findings and made decisions based on the insight, to shape its output, tailor a product, or refine an identity to reach the desired result.

Normally, running sentiment analysis on a particular data set has been a long-winded, complicated affair.

It’s traditionally been a process reserved for skilled data scientists, given that it requires complex programming languages and an understanding of Natural Language Processing (NLP).

Not anymore! It’s so simple with VAYU that we ran one in under two minutes.

Follow along with this step-by-step guide and the video, so you can analyse the sentiment of your own dataset (or one that we’ve provided).‍

‍Sentiment analysis in 10 steps!

Sign up to GYANA here and follow these ten easy steps to sentiment analysis.

1. Open a new project , or select a ready-made template with pre-loaded data.

2. If you would like to add a dataset of your own, click add dataset on the left sidebar.

3. Select table from the drop-down list and connect the dataset.

4. To run the sentiment analysis, add a new column to your table. Name the column whatever you’d like.

5. Select the new column you have created so that it is highlighted on the table.

6. In the formulas section on the right sidebar, drag the blue sentiment function into your formula editor.

7. Drag the column name of the texts you want to calculate the sentiment for into the scalar box.

8. GYANA will calculate the sentiment instantly, populating your new column with values ranging from -1 (negative) to 1 (positive).

9. You can take your analysis further by visualising your data in a couple of clicks. Select chart from the drop-down list, then simply drag and drop the columns into place!

10. For extra flair, try adding functions such as average , mode , median or _range _to your chart to fully understand the distribution of your sentiment.

10 steps. 2 minutes.

1 powerful sentiment analysis.