Sentiment analysis logisticregression

[samhithamuvva]

Description

Types of change

Checklist

• I confirm that I have the right to submit this contribution under the project's MIT license.
• I ran the tests, and all new and existing tests passed.
• My changes don't require a change to the documentation, or if they do, I've added all required information.

[samhithamuvva]

The provided functionality will perform Sentiment Analysis Using spaCy (Without using sklearn). It can classify the text into positive and negative (binary classification) using a logistic regression-based text classification model using only spaCy, without the need for external libraries like sklearn.

[samhithamuvva]

The provided functionality will perform Sentiment Analysis Using spaCy (Without using sklearn). It can classify the text into positive and negative (binary classification) using a logistic regression-based text classification model using only spaCy, without the need for external libraries like sklearn. The usage is specified in the Readme.md documentation as well.