The Word cloud for the movie Fight Club is below:
Considering the word frequency into account for the movie “Fight Club”, the cast featured in the film Brad Pitt and Edward Norton has been key to the movie success. The characterization was a big positive. The narrations of the story by the narrator brought few key points to the movie success as well.
The word frequncy when plotted against the words is as below:
## Don't know how to automatically pick scale for object of type data.frame. Defaulting to continuous.
## Don't know how to automatically pick scale for object of type data.frame. Defaulting to continuous.
Apart from the words “movie” and “Film”, the plot clearly shows the repeatition of the title which suggests the movie title has been liked my so many people in a positive way.
The Word Cloud for the reviews scrapped from the movie Fight Club for TFIDF
So if we consider the above word cloud which has the Inverse Document Frequency the next repeatition has been fighting,violence and their impact in the society. These could have been termed as the negative words.
The bar graph when plotted against the word and frequency - TFIDF
The above frequency of the words have already been captured in DTM. Further the other insight like violence observed here can be treated as an insight from this matrix.
##
|
|====== | 10%
|
|============= | 20%
|
|==================== | 30%
|
|========================== | 40%
|
|================================ | 50%
|
|======================================= | 60%
|
|============================================== | 70%
|
|==================================================== | 80%
|
|========================================================== | 90%
|
|=================================================================| 100%
The cooccurance matrix for the DTM when plotted was given by :
The above Cooccurance provides an sight of negative words like “Time Waste” but few positive insigts can also be derived like characterization,people and cast present in the movie.
The COG for TFIDF for the cooccurance
Even the Inverse frequency COG provides few insights like powerful script,can be termed as a positive, also few topics like “Fighting as Social message” is more inclined towards negative perspective.
The above is the termed as the positive words extracted from the movie reviews.
The above plot shows the positive views from all the reviews put together.
The above plot shows the negative views from all the reviews put together.
The above plot provides the coalation of both positive and negative reviews.
The above polarity plot is for both the positive and negative reviews where we can derive more insights.
Reviews provided us more insights and gave the best reason for the movie success. On a whole if we consider the positive side, the below observations can be made:
However, for this movie the negative reviews have been relatively less compared to positive reviews, and below is the summary:
The movie could have been slightly more pivoted against the violence and with the similar script and cast could have been even more successful scenario.