Question

describe at least two ways in which you could adjust your totalsentiment method so that your program returns even more reasonable ratings.

Answer 1

To return even more reasonable ratings using the TotalSentiment method, you can implement weighted sentiment and sentiment context.

Step-by-step explanation:

To adjust the TotalSentiment method and return even more reasonable ratings, you can implement the following strategies:

1. Weighted Sentiment: Assign different weights to the sentiment scores based on the credibility or importance of the sources. For example, if a sentiment score comes from a renowned news outlet, it could be given a higher weight than a score from an unknown blog.
2. Sentiment Context: Consider the context in which the sentiment is expressed. For instance, sentiment expressed in a sarcastic or ironic tone may not accurately reflect the actual sentiment. Implementing a contextual analysis could help in adjusting the sentiment ratings accordingly.

By incorporating these adjustments, the program can provide more reasonable ratings by taking into account the credibility of sources and the contextual aspect of sentiment.

Answer 2

Incorporate context-sensitive sentiment analysis: Currently, the totalsentiment method might assign the same weight to every word. However, the sentiment of a word can change depending on the context.

Utilize external sentiment lexicons and databases: While a custom sentiment dictionary is good, it might miss out on subtle nuances or domain-specific sentiment.

Consider the review's target and purpose: The sentiment of a review might depend on its target and purpose. We can incorporate factors like review category and target type to adjust the expected sentiment range and weigh the words accordingly. This would prevent comparing apples to oranges and lead to more realistic ratings for different domains.