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loading models Matrix ................
loading model Config................
loading Actual Data...................
loading unique noun in train data with vector value for context search ................
Input processed Text : process hro payroll benefits payments incorrect result dear sir, per attached screen shots
Into Input Evaluation function
Text : process hro payroll benefits payments incorrect result dear sir, per attached screen shots
TFIDF Vector : TfidfVectorizer(stop_words='english')
Input TF IDF : (0, 6601) 0.36862564889350036
(0, 6534) 0.3496942376519081
(0, 6282) 0.19397247510394874
(0, 6005) 0.35528650950739105
(0, 5358) 0.24346070031010753
(0, 5005) 0.2336641199819507
(0, 4999) 0.36153813756029163
(0, 3300) 0.2182457922117022
(0, 3060) 0.3496942376519081
(0, 1767) 0.18937766196959577
(0, 780) 0.3103140646757555
(0, 564) 0.17696718472159018
X : [[0. 0. 0. ... 0. 0. 0.]]
Cosine Similarity : [[0.46867088]
[0.2368872 ]
[0. ]
...
[0.01469617]
[0. ]
[0.04955105]]
DF CHeck : ticket_id score
0 0 0.468671
1 1 0.236887
2 2 0.000000
3 3 0.119194
4 4 0.222561
Score : [0.4686708758445488, 0.4789154257385584]
Indexes : Int64Index([0, 2294], dtype='int64')
Into Input Evaluation Count function
Text : process hro payroll benefits payments incorrect result dear sir, per attached screen shots
Input Count : (0, 564) 1
(0, 780) 1
(0, 1767) 1
(0, 3060) 1
(0, 3300) 1
(0, 4999) 1
(0, 5005) 1
(0, 5358) 1
(0, 6005) 1
(0, 6282) 1
(0, 6534) 1
(0, 6601) 1
X : [[0 0 0 ... 0 0 0]]
Cosine Similarity inside Input evaluation : [[0.53674504]
[0.30815782]
[0. ]
...
[0.02254174]
[0. ]
[0.08006408]]
Score : [0.5367450401216933, 0.5051814855409227]
Indexes : Int64Index([0, 2294], dtype='int64')
TF Count Pred : ticket_id ticket_category ticket_type ticket_item \
0 0 process hro - payroll benefits and payments
2294 2294 process hro - payroll benefits and payments
ticket_summary \
0 incorrect result
2294 incorrect calculations
ticket_desc ticket_severity \
0 dear sir,\nas per the attached screen shots, m... default
2294 please check increment date of emp. no. 110011... minor
person_who_resolved concatenated_string \
0 tanvirmirkar process hro payroll benefits payments incorrec...
2294 tanvirmirkar process hro payroll benefits payments incorrec...
Nouns Noun \
0 [process, hro, payroll, benefits, payments, re... [tanvirmirkar]
2294 [process, hro, payroll, benefits, payments, ca... [tanvirmirkar]
score
0 0.536745
2294 0.505181
USer recommendation List from event_prediction_tfidf function : ['process hro payroll benefits payments incorrect result dear siras per attached screen shots mobile spoc entered mobile recovery amount recovery system show zero recovery amountplease check resolve issue discussed phone tanvirmirkar', 'process hro payroll benefits payments incorrect calculations please check increment date emp wef incorrect tanvirmirkar', 'process hro payroll benefits payments incorrect calculations please check increment date emp wef incorrect tanvirmirkar', 'process hro payroll benefits payments incorrect result dear siras per attached screen shots mobile spoc entered mobile recovery amount recovery system show zero recovery amountplease check resolve issue discussed phone tanvirmirkar']
TFIDF Prediction Done ['process hro payroll benefits payments incorrect result dear siras per attached screen shots mobile spoc entered mobile recovery amount recovery system show zero recovery amountplease check resolve issue discussed phone tanvirmirkar', 'process hro payroll benefits payments incorrect calculations please check increment date emp wef incorrect tanvirmirkar', 'process hro payroll benefits payments incorrect calculations please check increment date emp wef incorrect tanvirmirkar', 'process hro payroll benefits payments incorrect result dear siras per attached screen shots mobile spoc entered mobile recovery amount recovery system show zero recovery amountplease check resolve issue discussed phone tanvirmirkar']
User Recommendations: ['process hro payroll benefits payments incorrect result dear siras per attached screen shots mobile spoc entered mobile recovery amount recovery system show zero recovery amountplease check resolve issue discussed phone tanvirmirkar', 'process hro payroll benefits payments incorrect calculations please check increment date emp wef incorrect tanvirmirkar', 'process hro payroll benefits payments incorrect calculations please check increment date emp wef incorrect tanvirmirkar', 'process hro payroll benefits payments incorrect result dear siras per attached screen shots mobile spoc entered mobile recovery amount recovery system show zero recovery amountplease check resolve issue discussed phone tanvirmirkar']
The main thing is it is returning a list of indexes from original dataframe concatenated text along with output person who resolved in a list
for eg-
process hro payroll benefits payments incorrect result dear siras per attached screen shots mobile spoc entered mobile recovery amount recovery system show zero recovery amountplease check resolve issue discussed phone
is the input columns concatenated
and
tanvirmirkar is the person_who_resolved so, we need just the person_who_resolved in the output, can it be possible.
How to do this.