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Sam Neupane
sentiment
Commits
a0ed7156
Commit
a0ed7156
authored
8 years ago
by
Sam Neupane
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hw
parent
767f8142
Branches
master
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3 changed files
Unit_test.py
+17
-0
17 additions, 0 deletions
Unit_test.py
sentiment.py
+89
-56
89 additions, 56 deletions
sentiment.py
test_method_11.py
+0
-10
0 additions, 10 deletions
test_method_11.py
with
106 additions
and
66 deletions
Unit_test.py
0 → 100644
+
17
−
0
View file @
a0ed7156
from
unittest
import
TestCase
from
sentiment
import
method_11
from
sentiment
import
first_input13
class
Unit_test
(
TestCase
):
def
test_method_11
(
self
):
with
open
(
'
sentiment.txt
'
)
as
s
:
reviews
=
list
(
s
)
sentiments
=
{}
self
.
assertEqual
(
method_11
(
reviews
,
sentiments
)[
'
arty
'
],
[
3
,
1
,
1
,
0
])
def
test_first_Input13
(
self
):
sentiments
=
{}
y
=
input
()
self
.
assertEqual
(
first_input13
(
sentiments
,
y
)[
'
Invalid input
'
])
This diff is collapsed.
Click to expand it.
sentiment.py
+
89
−
56
View file @
a0ed7156
from
__future__
import
print_function
,
division
from
builtins
import
input
import
numpy
as
np
def
main
():
reviews
=
list
()
try
:
with
open
(
'
sentiment.txt
'
)
as
s
:
reviews
=
list
(
s
)
# print(len(reviews))
except
OSError
:
print
(
'
Does not exist
'
)
sentiments
=
{}
...
...
@@ -25,7 +27,7 @@ def main():
# y=x, num=0, av='None'
# )
# print(output)
y
=
None
#
y = None
while
True
:
print
(
'
Enter your choice:
\n
'
...
...
@@ -45,67 +47,98 @@ def main():
if
y
==
5
:
print
(
'
Goodbye
'
)
break
if
y
==
1
:
x
=
input
(
"
Enter a word
"
)
if
x
in
sentiments
:
first_input13
(
sentiments
,
y
)
output
=
'
The word
"
{y}
"
appears
"
{num}
"
times with an average sentiment of {av}.
'
.
format
(
y
=
x
,
num
=
len
(
sentiments
[
x
]),
av
=
sum
(
sentiments
[
x
])
/
len
(
sentiments
[
x
]))
else
:
output
=
'
The word
"
{y}
"
appears
"
{num}
"
times with an average sentiment of {av}.
'
.
format
(
y
=
x
,
num
=
0
,
av
=
'
None
'
)
print
(
output
)
average
=
list
()
if
y
==
2
or
y
==
3
:
if
y
==
2
or
y
==
3
or
y
==
4
:
average
=
list
()
file
=
input
(
'
Enter a file
'
)
try
:
with
open
(
file
)
as
file_words
:
user_file
=
file_words
.
read
().
split
()
for
word_in_file
in
user_file
:
if
word_in_file
in
sentiments
.
keys
():
average
.
append
(
sum
(
sentiments
[
word
])
/
len
(
sentiments
[
word
]))
if
y
==
2
:
average
.
append
(
sum
(
sentiments
[
word_in_file
])
/
len
(
sentiments
[
word_in_file
]))
if
not
average
:
print
(
'
The average score of words in {y} is None
'
.
format
(
y
=
file
))
else
:
average_words
=
sum
(
average
)
/
len
(
average
)
if
average_words
>=
2.01
:
print
(
'
The average score of words in {y} is {av}
'
.
format
(
y
=
file
,
av
=
average_words
))
print
(
'
The overall sentiment of {y} is positive
'
.
format
(
y
=
file
))
elif
average_words
<=
1.99
:
print
(
'
The average score of words in {y} is {av}
'
.
format
(
y
=
file
,
av
=
average_words
))
print
(
'
The overall sentiment of {y} is negative
'
.
format
(
y
=
file
))
else
:
print
(
'
The average score of words in {y} is {av}
'
.
format
(
y
=
file
,
av
=
average_words
))
print
(
'
The overall sentiment of {y} is neutral
'
.
format
(
y
=
file
))
if
y
==
3
:
# rating = sum(sentiments[x])/len(sentiments[x])
split_file
=
file
.
split
()
#
highest_score
=
max
(
average
)
lowest_score
=
min
(
average
)
p
=
average
.
append
(
sum_word
)
for
check_word
in
split_file
:
if
check_word
in
sentiments
:
method_11
(
check_word
)
sum_word
=
sum
(
method_11
(
check_word
))
/
len
(
method_11
(
check_word
))
for
file_word
,
rate
in
sum_word
.
items
():
if
rate
==
highest_score
:
j
=
file_word
if
rate
==
lowest_score
:
j
==
file_word
print
(
'
The most positive word is {phrase} with a score of {j}
'
.
format
(
phrase
=
j
,
j
=
highest_score
))
print
(
'
The most negative word is {phrase} with a score of {min}
'
.
format
(
phrase
=
j
,
min
=
lowest_score
))
except
IOError
:
raise
print
(
'
File could not be found
'
)
for
word_in_file
in
user_file
:
if
word_in_file
in
sentiments
.
keys
():
average
.
append
(
sum
(
sentiments
[
word
])
/
len
(
sentiments
[
word
]))
if
y
==
2
:
average
.
append
(
sum
(
sentiments
[
word_in_file
])
/
len
(
sentiments
[
word_in_file
]))
if
not
average
:
print
(
'
The average score of words in {y} is None
'
.
format
(
y
=
file
))
else
:
one_word_average
=
sum
(
average
)
/
len
(
average
)
if
one_word_average
>=
2.01
:
print
(
'
The average score of words in {y} is {av}
'
.
format
(
y
=
file
,
av
=
one_word_average
))
print
(
'
The overall sentiment of {y} is positive
'
.
format
(
y
=
file
))
elif
one_word_average
<=
1.99
:
print
(
'
The average score of words in {y} is {av}
'
.
format
(
y
=
file
,
av
=
one_word_average
))
print
(
'
The overall sentiment of {y} is negative
'
.
format
(
y
=
file
))
else
:
print
(
'
The average score of words in {y} is {av}
'
.
format
(
y
=
file
,
av
=
one_word_average
))
print
(
'
The overall sentiment of {y} is neutral
'
.
format
(
y
=
file
))
if
y
==
3
:
max_score
=
None
min_score
=
None
max_word
=
None
min_Word
=
None
number
=
0
score_of_one_word
=
sum
(
sentiments
[
word_in_file
])
/
len
(
sentiments
[
word_in_file
])
for
word_in_file
in
user_file
:
if
word_in_file
in
sentiments
.
keys
():
if
max_score
is
None
:
max_score
=
score_of_one_word
max_word
=
word_in_file
if
score_of_one_word
>
max_score
:
max_score
=
score_of_one_word
max_word
=
word_in_file
if
min_score
is
None
:
min_score
=
score_of_one_word
min_Word
=
word_in_file
if
score_of_one_word
<
min_score
:
min_score
=
word_in_file
min_Word
=
word_in_file
print
(
'
The most positive word is {phrase} with a score of {max}
'
.
format
(
phrase
=
max_word
,
max
=
max_score
))
print
(
'
The most negative word is {phrase} with a score of {min}
'
.
format
(
phrase
=
min_Word
,
min
=
min_score
))
if
y
==
4
:
lowest_scores
=
[]
largest_scores
=
[]
score_of_one_word
=
sum
(
sentiments
[
word_in_file
])
/
len
(
sentiments
[
word_in_file
])
for
word_in_file
in
user_file
:
if
word_in_file
in
sentiments
.
keys
():
if
score_of_one_word
<=
1.99
:
lowest_scores
.
append
(
word_in_file
)
elif
one_word_average
>=
2.01
:
largest_scores
.
append
(
word_in_file
)
lowest_scores
=
str
([
lowest_scores
])
largest_scores
=
str
([
largest_scores
])
with
open
(
'
negative.txt
'
,
'
w
'
)
as
negative_file
:
negative_file
.
write
(
lowest_scores
)
with
open
(
'
positive.txt
'
,
'
w
'
)
as
positive_file
:
positive_file
.
write
(
largest_scores
)
def
first_input13
(
sentiments
,
y
):
if
y
==
1
:
x
=
input
(
"
Enter a word
"
)
if
x
in
sentiments
:
output
=
'
The word
"
{y}
"
appears
"
{num}
"
times with an average sentiment of {av}.
'
.
format
(
y
=
x
,
num
=
len
(
sentiments
[
x
]),
av
=
sum
(
sentiments
[
x
])
/
len
(
sentiments
[
x
]))
else
:
output
=
'
The word
"
{y}
"
appears
"
{num}
"
times with an average sentiment of {av}.
'
.
format
(
y
=
x
,
num
=
0
,
av
=
'
None
'
)
print
(
output
)
def
method_11
(
reviews
,
sentiments
):
...
...
This diff is collapsed.
Click to expand it.
test_method_11.py
deleted
100644 → 0
+
0
−
10
View file @
767f8142
from
unittest
import
TestCase
from
sentiment
import
method_11
class
TestMethod_11
(
TestCase
):
def
test_method_11
(
self
):
reviews
=
[
'
John
'
,
"
jack
"
]
sentiments
=
[
2
,
2
]
self
.
assertEqual
(
method_11
(
reviews
,
sentiments
)[
3
,
0
,
1
,
1
],
[
'
arty
'
])
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