some people believe that movies should be based on social stigmas while other believe that it should be based on real life hero. Discuss both views and give your opinion .

Essay topics:

some people believe that movies should be based on social stigmas while other believe that it should be based on real life hero. Discuss both views and give your opinion .

"Movies inspire us,challenge are assumption,change are views, sometimes break our heart too, left are soul,and yes, teach us life lessons". one of most pressing concerns is regarding the given topic whether movies should be based on ; social stigmas or real life hero ? In this essay, I am going to examine this questions from both points of views.

On one side of the argument there are people who believe that movies should be based on social stigmas. They raise many assertions in defence such as some people have discrimination factor in there mind, especially related skin colour . Moreover, that type of discrimination have been in school, colege,and society because in these places there are many British people ,and they donot like the people with dark colour . Inaddition to this, people should be aware with the help of social stigma movies. The best epitome is that in the movie of "The Color Purple" ,people had lot of discrimination factor as in this movie , one dark color women face lot of problems in there life . So,movies should be make based on social stigmas.

On the flip side , there are antagonists to this assertion who believe that movies should be based on real life hero. They bolster their view point by claming that most of the people love to watch those movies that is based on real life story. The successful exampleis that in the movie of " Bhaag Milkha Bhaag" ,Milkha singh did lot of hardwork for achieve there gaol as this movie motivated the people do hardwork in there life for achieve the successful life.

Nevertheless, weighting both the opinion, I believe that there is no single conclusion still,I take this ground on effective clap required the use of both hands . So , In the society both movies are playing an important role because people learn lot of things from the movies.

Votes
Average: 7.3 (1 vote)

Comments

Grammar and spelling errors:
Line 1, column 24, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma
Suggestion: , challenge
'Movies inspire us,challenge are assumption,change are views, someti...
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Suggestion: , change
...vies inspire us,challenge are assumption,change are views, sometimes break our heart to...
^^^^^^^
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Message: Put a space after the comma
Suggestion: , and
...times break our heart too, left are soul,and yes, teach us life lessons'. one o...
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Suggestion: One
...l,and yes, teach us life lessons'. one of most pressing concerns is regarding ...
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Line 3, column 235, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
...ere mind, especially related skin colour . Moreover, that type of discrimination ...
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Line 3, column 275, Rule ID: WHITESPACE_RULE
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... . Moreover, that type of discrimination have been in school, colege,and society ...
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Line 3, column 304, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: , and
...crimination have been in school, colege,and society because in these places there a...
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Suggestion: ,
...ese places there are many British people ,and they donot like the people with dar...
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Line 3, column 391, Rule ID: WHITESPACE_RULE
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...many British people ,and they donot like the people with dark colour . Inaddition...
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Line 3, column 420, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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... donot like the people with dark colour . Inaddition to this, people should be aw...
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Line 3, column 574, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: ,
...he movie of 'The Color Purple' ,people had lot of discrimination factor ...
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Line 3, column 632, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: ,
...f discrimination factor as in this movie , one dark color women face lot of proble...
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Line 3, column 690, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...women face lot of problems in there life . So,movies should be make based on socia...
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Line 3, column 695, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: , movies
... face lot of problems in there life . So,movies should be make based on social stigmas....
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Line 3, column 713, Rule ID: SHOULD_BE_DO[1]
Message: Did you mean 'made'?
Suggestion: made
...ems in there life . So,movies should be make based on social stigmas. On the flip...
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Line 5, column 17, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...d on social stigmas. On the flip side , there are antagonists to this assertion...
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Line 5, column 322, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: ,
...movie of ' Bhaag Milkha Bhaag' ,Milkha singh did lot of hardwork for ach...
^^
Line 5, column 452, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
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...le do hardwork in there life for achieve the successful life. Nevertheless, w...
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...that there is no single conclusion still,I take this ground on effective clap req...
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Line 7, column 130, Rule ID: WHITESPACE_RULE
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...ill,I take this ground on effective clap required the use of both hands . So , In...
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Line 7, column 162, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Don't put a space before the full stop
Suggestion: .
...ive clap required the use of both hands . So , In the society both movies are pla...
^^
Line 7, column 167, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...lap required the use of both hands . So , In the society both movies are playing ...
^^

Transition Words or Phrases used:
if, moreover, nevertheless, regarding, so, still, such as

Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments

Performance on Part of Speech:
To be verbs : 17.0 7.0 243% => Less to be verbs wanted.
Auxiliary verbs: 5.0 1.00243902439 499% => Less auxiliary verb wanted.
Conjunction : 4.0 6.8 59% => More conjunction wanted.
Relative clauses : 10.0 3.15609756098 317% => Less relative clauses wanted (maybe 'which' is over used).
Pronoun: 27.0 5.60731707317 482% => Less pronouns wanted
Preposition: 43.0 33.7804878049 127% => OK
Nominalization: 8.0 3.97073170732 201% => Less nominalizations (nouns with a suffix like: tion ment ence ance) wanted.

Performance on vocabulary words:
No of characters: 1543.0 965.302439024 160% => OK
No of words: 309.0 196.424390244 157% => Less content wanted.
Chars per words: 4.99352750809 4.92477711251 101% => OK
Fourth root words length: 4.1926597562 3.73543355544 112% => OK
Word Length SD: 2.65764203613 2.65546596893 100% => OK
Unique words: 166.0 106.607317073 156% => OK
Unique words percentage: 0.537216828479 0.547539520022 98% => OK
syllable_count: 476.1 283.868780488 168% => OK
avg_syllables_per_word: 1.5 1.45097560976 103% => OK

A sentence (or a clause, phrase) starts by:
Pronoun: 6.0 1.53170731707 392% => Less pronouns wanted as sentence beginning.
Article: 3.0 4.33902439024 69% => OK
Subordination: 0.0 1.07073170732 0% => More adverbial clause wanted.
Conjunction: 3.0 0.482926829268 621% => Less conjunction wanted as sentence beginning.
Preposition: 4.0 3.36585365854 119% => OK

Performance on sentences:
How many sentences: 14.0 8.94146341463 157% => OK
Sentence length: 22.0 22.4926829268 98% => OK
Sentence length SD: 46.5013166371 43.030603864 108% => OK
Chars per sentence: 110.214285714 112.824112599 98% => OK
Words per sentence: 22.0714285714 22.9334400587 96% => OK
Discourse Markers: 4.07142857143 5.23603664747 78% => OK
Paragraphs: 4.0 3.83414634146 104% => OK
Language errors: 22.0 1.69756097561 1296% => Less language errors wanted.
Sentences with positive sentiment : 11.0 3.70975609756 297% => Less positive sentences wanted.
Sentences with negative sentiment : 1.0 1.13902439024 88% => OK
Sentences with neutral sentiment: 2.0 4.09268292683 49% => OK
What are sentences with positive/Negative/neutral sentiment?

Coherence and Cohesion:
Essay topic to essay body coherence: 0.41383840562 0.215688989381 192% => OK
Sentence topic coherence: 0.171808561789 0.103423049105 166% => OK
Sentence topic coherence SD: 0.142151718976 0.0843802449381 168% => OK
Paragraph topic coherence: 0.239633191662 0.15604864568 154% => OK
Paragraph topic coherence SD: 0.0706524388778 0.0819641961636 86% => OK

Essay readability:
automated_readability_index: 13.1 13.2329268293 99% => OK
flesch_reading_ease: 57.61 61.2550243902 94% => OK
smog_index: 3.1 6.51609756098 48% => Smog_index is low.
flesch_kincaid_grade: 10.7 10.3012195122 104% => OK
coleman_liau_index: 11.66 11.4140731707 102% => OK
dale_chall_readability_score: 8.1 8.06136585366 100% => OK
difficult_words: 66.0 40.7170731707 162% => OK
linsear_write_formula: 11.0 11.4329268293 96% => OK
gunning_fog: 10.8 10.9970731707 98% => OK
text_standard: 11.0 11.0658536585 99% => OK
What are above readability scores?

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Rates: 73.0337078652 out of 100
Scores by essay e-grader: 6.5 Out of 9
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.